https://www.humanresourcestoday.com/frs/26184029/ai---dei--with-great-opportunities-comes-great-hr-responsibility
The promise of AI for today’s organizations is real, yet in a frenzied state of experimentation, many stumble to get to a full-scale enterprise. As companies race to discover what generative AI can do, HR must lead conversations about how to balance cutting-edge innovations with integrity, trust, and diversity. Globally, organizations are at a critical intersection of Diversity, Equity, Inclusion, and AI acceleration. We will explore how AI is rapidly transforming workplace dynamics and decision-making processes. The safety and protection of the workforce have never been more important and need to be co-led by HR to prevent biases and ensure fair and equitable representation in systems, hiring, and the workforce evolution.
We'll cover:
• The opportunities that AI presents and the responsibility of HR
• How to enhance diverse perspectives in use cases
• Increasing collaboration between AI Developers, HR, Legal and IT
In recent years AI and ML capabilities have advanced exponentially, blurring the line between fantasy and reality, thus creating an unparalleled market opportunity for whoever can bring the technology to eager consumers.
Today there is an abundance of demand for more intelligent and human-like behavior and technology on the market, and now we have concrete ways to fill that demand. Everybody’s playing, but only some will strike it rich.
This edition is an exploration on how to incorporate AI to products and services in a very real and organic way. Dive in and let’s take a look!
Despite great enthusiasm for AI, full-blown deployments remain the exception rather than the rule across businesses in the U.S. and Europe, according to our recent research. Businesses can turn the tide by honing their AI strategies, maintaining a human-centric approach, developing governance structures and ensuring AI applications are built on an ethical foundation.
Digital transformation can be defined as a process whereby an organization shifts their business models, processes, and organizational culture with digital technologies to adapt to changing customer behaviors. They adapt to meet ever-changing customer expectations and engage with consumers in innovative ways. Transformational journeys require acurate assessments, learning, growth, and monitoring of:
1) People and Culture;
2) Capacity and Capabilities;
3) Innovation; and
4) Technology.
This Artificial Intelligence (AI) and Big Data Readiness Report
provides an analysis of a global survey of public relations
practitioners and academics and video/written evidence from
senior practitioners concerning the profession’s knowledge,
skills, adoption of and attitudes towards AI, and to a lesser
extent, Big Data. Its aim is to provide an overview of current AI
understanding and preparedness, but most importantly, provide
pointers to how the profession should equip itself to exploit the
potential and guard against the possible dangers of AI.
The document discusses artificial intelligence and its implications for business leadership. It makes the following key points:
1) AI is advancing rapidly but also means different things to different people, from machine learning to data analysis. While AI may transform business, its full potential and impact are still unknown.
2) Companies are increasingly using AI to assist with tasks like data analysis, decision making, and talent management. However, AI also raises ethical issues that executives must address.
3) While AI can outperform humans on specific narrow tasks, humans retain advantages in areas like strategic decision making, creativity, emotional intelligence, and balancing different stakeholder needs. Successful companies will combine AI with human capabilities.
This document provides a summary of key strategies for successfully scaling artificial intelligence (AI) within an organization. It discusses the importance of having a clear business strategy that AI supports, focusing AI projects on delivering tangible business value. It also emphasizes having the right data strategy to power AI initiatives and taking a portfolio view of AI projects that balances experimentation with alignment to strategic goals. The document recommends challenging assumptions about how work gets done and preparing employees for how AI will change and augment their roles. It argues that organizations must think holistically about scaling AI to realize its full potential for driving business outcomes.
Striking the Harmonious Chord: AI and Human Collaboration in IT- Unique Syste...
Explore the dynamic synergy between AI and human collaboration in IT. Discover how striking the harmonious chord between artificial intelligence and human ingenuity revolutionizes the IT landscape. Dive into the future of innovation and teamwork."
A Framework for Navigating Generative Artificial Intelligence for Enterprise
Generative AI offers both opportunities and risks for enterprises. While it could drive significant ROI through personalized experiences, thought leadership, and faster processes, there are also concerns about job losses, overreliance on automation without oversight, and inaccurate information. Effective adoption of generative AI requires experience management strategies like understanding emotional and logical customer triggers, aligning products and services to experience channels, and building a business model around a compelling brand story. A people-first approach is important to maximize benefits and mitigate risks.
Are you implementing AI in your HR team, or just thinking about it?
Don't think too long!
76% of HR leaders say they will fall behind their competitors if they don't implement AI in HR soon.1
… But before you leap, download our eBook to see
How AI Drives Value in HR
Intelligent automation technologies like artificial intelligence and machine learning will transform financial services organizations over the next few years. While these technologies offer benefits like improved efficiency, expertise, effectiveness and innovation, few financial services firms have prepared their workforces for these changes. As the function responsible for people strategy and development, human resources has a critical role to play in leading an enterprise-wide intelligent automation strategy. This includes envisioning how jobs, teams and skills will evolve; developing a culture that embraces humans and machines working together; and ensuring the necessary skills and governance are in place to successfully implement and scale intelligent automation.
Best Practices for Harnessing Generative AI and LLMs1.pdf
Did you know that a recent study by McKinsey & Company highlighted that 84% of organizations are concerned about bias in their AI algorithms? However, there's a solution to this problem. Upholding best practices can significantly mitigate biases in AI for enterprises, particularly given the challenges posed by compliance and the rapid dissemination of information through digital media.
In this E42 Blog post, we delve into an array of best practices to mitigate bias and hallucinations in AI models. A few of these best practices include:
Model optimization: This practice focuses on enhancing model performance and reducing bias through various optimization techniques
Understanding model architecture: This involves a deep dive into the structure of AI models to identify and rectify biases
Human interactions: This emphasizes on the critical role of human feedback in the training loop in ensuring unbiased AI outcomes
On-premises large language models: This practice involves utilizing on-premises LLMs to maintain control over data and model training
This document provides an overview of artificial intelligence (AI) and its applications in enterprises. It examines real use cases for AI, challenges, and opportunities. Key areas where AI can provide value for enterprises are enterprise intelligence, computer vision, and conversational AI. Enterprise intelligence involves analyzing multiple internal and external datasets to extract insights, predictions, and recommendations. Computer vision allows machines to "see" and interpret images. Conversational AI allows machines to communicate using natural language. The document also provides case studies of how companies like Stripe and DBS are using AI.
Powered by AI: Communications and Marketing in the Algorithm Age
MSL partnered with research firm Toluna to survey 1,846 marketing and communications leaders from Brazil, China, France, Germany, India, Italy, Poland, UK and US. We partnered with our colleagues at sister agency Publicis.Sapient who are experts in counselling companies and brands on the AI revolution.
The applications of Artificial Intelligence (AI) are constantly expanding, opening up new possibilities in workflows, processes, and technological solutions. In a digitally connected future, where machines and humans work together for remarkably impressive results, companies that successfully adopt ethical AI will have an advantage.
Artificial Intelligence Empowering the Future of Digital Transformation
Artificial Intelligence is not only about the machines that play an authoritative role in humans, but they both are working together. Machines provide the human with the ability of insight and perspective but the machines will not provide the decisive role of supplying judgement and creativity. There is a huge scope of artificial intelligence in this era. The combination of human creativity and technology together results in the excitement that can solve various problems and challenges related to the world. Deepak Kumar "Artificial Intelligence Empowering the Future of Digital Transformation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30287.pdf Paper Url :https://www.ijtsrd.com/computer-science/artificial-intelligence/30287/artificial-intelligence-empowering-the-future-of-digital-transformation/deepak-kumar
How to set up an artificial intelligence center of excellence in your organiz...
Setting up a COE ( Center of Excellence ) for AI ( Artificial Intelligence ) could be a daunting task. Lack of skills and quality data sets could hold you back. But still you should not wait any longer and start with what you have, build skills by training people, and move ahead in gettering executive approval for building an artificial intelligence center of excellence
Do's and Don'ts: How to Pitch Your Press Release to Journalists
Have you ever wondered how to write a compelling press release? Have you considered best practices when it comes to pitching your news to journalists to earn media coverage? In this webinar with Michelle Garrett, we’ll cover tips and advice to help you get the most out of each of each piece of news you pitch!
Don’t Get Left Behind: Leveraging Modern Product Management Across the Organi...
https://www.productmanagementtoday.com/frs/27009164/don-t-get-left-behind--leveraging-modern-product-management-across-the-organization
The challenge of delivering the right product at the right time while aligning with strategic objectives is more pressing than ever. Product management is evolving and gaining greater recognition as the means to creating this connection.
Join our upcoming webinar and learn how to streamline your product development processes, infuse product thinking across the organization, and bridge the gap between vision and delivery. During this webinar, we will discuss the nuances of product management in a rapidly evolving landscape, and provide insights into fostering collaboration, managing complexity, and driving efficient execution from strategy to delivery.
You’ll walk away from this webinar with insights into how you can:
• Increase customer value by strengthening alignment across your organization.
• Reduce costs by making small bets and cross organizational funding decisions.
• Ensure a synthesis between planning and implementation to quickly deliver value.
Your Guide To Transitioning Into Product Management: Essentials For New PMs
Join us for an insightful webinar designed to help you seamlessly transition into the dynamic role of Product Manager. Whether you're looking to pivot your career or enhance your existing skills, this session will equip you with the knowledge and tools to succeed!
How To Manage Multiple Product Teams For Successful Development & Delivery
This new webinar with Product Executive Leslie Grandy and Senior Program Manager Drew Weaver, learn the key skills required to be a leader of multiple product teams and explore how you can navigate complexities to maintain a cohesive vision across projects, ensuring successful product development and delivery!
At its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence.
The document summarizes key points from a business analytics conference. It discusses how analytics has become more important and useful due to increased data and new tools. While analytics is helping organizations, clear business needs and leadership support are still needed to ensure insights are properly used. There is a shortage of analytics talent, and on-the-job training is critical for developing skills. India has a large share of the analytics outsourcing market but can move further up the value chain through faster delivery and challenging itself.
AI IN THE WORKPLACE: TRANSFORMING TODAY’S WORK DYNAMICS.pdfStephenAmell4
AI is transforming workplaces, marking a significant shift towards automation and intelligent decision-making in various industries. In the modern business realm, AI’s role extends from automating mundane tasks to optimizing complex operations, thereby augmenting human capabilities. This integration results in significant productivity gains and more efficient business processes.
In recent years AI and ML capabilities have advanced exponentially, blurring the line between fantasy and reality, thus creating an unparalleled market opportunity for whoever can bring the technology to eager consumers.
Today there is an abundance of demand for more intelligent and human-like behavior and technology on the market, and now we have concrete ways to fill that demand. Everybody’s playing, but only some will strike it rich.
This edition is an exploration on how to incorporate AI to products and services in a very real and organic way. Dive in and let’s take a look!
Get Ready: AI Is Grown Up and Ready for BusinessCognizant
Despite great enthusiasm for AI, full-blown deployments remain the exception rather than the rule across businesses in the U.S. and Europe, according to our recent research. Businesses can turn the tide by honing their AI strategies, maintaining a human-centric approach, developing governance structures and ensuring AI applications are built on an ethical foundation.
Digital transformation can be defined as a process whereby an organization shifts their business models, processes, and organizational culture with digital technologies to adapt to changing customer behaviors. They adapt to meet ever-changing customer expectations and engage with consumers in innovative ways. Transformational journeys require acurate assessments, learning, growth, and monitoring of:
1) People and Culture;
2) Capacity and Capabilities;
3) Innovation; and
4) Technology.
This Artificial Intelligence (AI) and Big Data Readiness Report
provides an analysis of a global survey of public relations
practitioners and academics and video/written evidence from
senior practitioners concerning the profession’s knowledge,
skills, adoption of and attitudes towards AI, and to a lesser
extent, Big Data. Its aim is to provide an overview of current AI
understanding and preparedness, but most importantly, provide
pointers to how the profession should equip itself to exploit the
potential and guard against the possible dangers of AI.
The document discusses artificial intelligence and its implications for business leadership. It makes the following key points:
1) AI is advancing rapidly but also means different things to different people, from machine learning to data analysis. While AI may transform business, its full potential and impact are still unknown.
2) Companies are increasingly using AI to assist with tasks like data analysis, decision making, and talent management. However, AI also raises ethical issues that executives must address.
3) While AI can outperform humans on specific narrow tasks, humans retain advantages in areas like strategic decision making, creativity, emotional intelligence, and balancing different stakeholder needs. Successful companies will combine AI with human capabilities.
This document provides a summary of key strategies for successfully scaling artificial intelligence (AI) within an organization. It discusses the importance of having a clear business strategy that AI supports, focusing AI projects on delivering tangible business value. It also emphasizes having the right data strategy to power AI initiatives and taking a portfolio view of AI projects that balances experimentation with alignment to strategic goals. The document recommends challenging assumptions about how work gets done and preparing employees for how AI will change and augment their roles. It argues that organizations must think holistically about scaling AI to realize its full potential for driving business outcomes.
Explore the dynamic synergy between AI and human collaboration in IT. Discover how striking the harmonious chord between artificial intelligence and human ingenuity revolutionizes the IT landscape. Dive into the future of innovation and teamwork."
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI offers both opportunities and risks for enterprises. While it could drive significant ROI through personalized experiences, thought leadership, and faster processes, there are also concerns about job losses, overreliance on automation without oversight, and inaccurate information. Effective adoption of generative AI requires experience management strategies like understanding emotional and logical customer triggers, aligning products and services to experience channels, and building a business model around a compelling brand story. A people-first approach is important to maximize benefits and mitigate risks.
Are you implementing AI in your HR team, or just thinking about it?
Don't think too long!
76% of HR leaders say they will fall behind their competitors if they don't implement AI in HR soon.1
… But before you leap, download our eBook to see
How AI Drives Value in HR
Intelligent automation technologies like artificial intelligence and machine learning will transform financial services organizations over the next few years. While these technologies offer benefits like improved efficiency, expertise, effectiveness and innovation, few financial services firms have prepared their workforces for these changes. As the function responsible for people strategy and development, human resources has a critical role to play in leading an enterprise-wide intelligent automation strategy. This includes envisioning how jobs, teams and skills will evolve; developing a culture that embraces humans and machines working together; and ensuring the necessary skills and governance are in place to successfully implement and scale intelligent automation.
Did you know that a recent study by McKinsey & Company highlighted that 84% of organizations are concerned about bias in their AI algorithms? However, there's a solution to this problem. Upholding best practices can significantly mitigate biases in AI for enterprises, particularly given the challenges posed by compliance and the rapid dissemination of information through digital media.
In this E42 Blog post, we delve into an array of best practices to mitigate bias and hallucinations in AI models. A few of these best practices include:
Model optimization: This practice focuses on enhancing model performance and reducing bias through various optimization techniques
Understanding model architecture: This involves a deep dive into the structure of AI models to identify and rectify biases
Human interactions: This emphasizes on the critical role of human feedback in the training loop in ensuring unbiased AI outcomes
On-premises large language models: This practice involves utilizing on-premises LLMs to maintain control over data and model training
This document provides an overview of artificial intelligence (AI) and its applications in enterprises. It examines real use cases for AI, challenges, and opportunities. Key areas where AI can provide value for enterprises are enterprise intelligence, computer vision, and conversational AI. Enterprise intelligence involves analyzing multiple internal and external datasets to extract insights, predictions, and recommendations. Computer vision allows machines to "see" and interpret images. Conversational AI allows machines to communicate using natural language. The document also provides case studies of how companies like Stripe and DBS are using AI.
Powered by AI: Communications and Marketing in the Algorithm AgeMSL
MSL partnered with research firm Toluna to survey 1,846 marketing and communications leaders from Brazil, China, France, Germany, India, Italy, Poland, UK and US. We partnered with our colleagues at sister agency Publicis.Sapient who are experts in counselling companies and brands on the AI revolution.
The applications of Artificial Intelligence (AI) are constantly expanding, opening up new possibilities in workflows, processes, and technological solutions. In a digitally connected future, where machines and humans work together for remarkably impressive results, companies that successfully adopt ethical AI will have an advantage.
Artificial Intelligence Empowering the Future of Digital Transformationijtsrd
Artificial Intelligence is not only about the machines that play an authoritative role in humans, but they both are working together. Machines provide the human with the ability of insight and perspective but the machines will not provide the decisive role of supplying judgement and creativity. There is a huge scope of artificial intelligence in this era. The combination of human creativity and technology together results in the excitement that can solve various problems and challenges related to the world. Deepak Kumar "Artificial Intelligence Empowering the Future of Digital Transformation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30287.pdf Paper Url :https://www.ijtsrd.com/computer-science/artificial-intelligence/30287/artificial-intelligence-empowering-the-future-of-digital-transformation/deepak-kumar
How to set up an artificial intelligence center of excellence in your organiz...Yogesh Malik
Setting up a COE ( Center of Excellence ) for AI ( Artificial Intelligence ) could be a daunting task. Lack of skills and quality data sets could hold you back. But still you should not wait any longer and start with what you have, build skills by training people, and move ahead in gettering executive approval for building an artificial intelligence center of excellence
Similar to AI & DEI: With Great Opportunities Comes Great HR Responsibility (20)
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Have you ever wondered how to write a compelling press release? Have you considered best practices when it comes to pitching your news to journalists to earn media coverage? In this webinar with Michelle Garrett, we’ll cover tips and advice to help you get the most out of each of each piece of news you pitch!
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https://www.productmanagementtoday.com/frs/27009164/don-t-get-left-behind--leveraging-modern-product-management-across-the-organization
The challenge of delivering the right product at the right time while aligning with strategic objectives is more pressing than ever. Product management is evolving and gaining greater recognition as the means to creating this connection.
Join our upcoming webinar and learn how to streamline your product development processes, infuse product thinking across the organization, and bridge the gap between vision and delivery. During this webinar, we will discuss the nuances of product management in a rapidly evolving landscape, and provide insights into fostering collaboration, managing complexity, and driving efficient execution from strategy to delivery.
You’ll walk away from this webinar with insights into how you can:
• Increase customer value by strengthening alignment across your organization.
• Reduce costs by making small bets and cross organizational funding decisions.
• Ensure a synthesis between planning and implementation to quickly deliver value.
Your Guide To Transitioning Into Product Management: Essentials For New PMsAggregage
Join us for an insightful webinar designed to help you seamlessly transition into the dynamic role of Product Manager. Whether you're looking to pivot your career or enhance your existing skills, this session will equip you with the knowledge and tools to succeed!
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https://www.productmanagementtoday.com/frs/26948914/product-strategy-agility--how-to-use-experiments-and-options-to-create-products-your-customers-love
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https://www.productmanagementtoday.com/frs/26984721/leading-the-development-of-profitable-and-sustainable-products
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https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
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In the fast-paced business world, optimizing HR operations is crucial. This blog explores how organizations can uncover hidden value within legacy HR systems and transition to advanced Human Resource Management Systems (HRMS). Discover the evolution of HRMS, best practices for data migration and system integration, and the benefits of modern HR solutions in enhancing efficiency, employee engagement, and data-driven decision-making. Embrace the future of HR management and unlock your workforce's full potential.
12 Crucial Employee Recognition Ideas for Large Companies.pptxVantage Circle
Boosting employee morale and retention is pivotal for large companies. Discover 12 innovative and effective employee recognition ideas tailored for big organizations to appreciate and motivate their workforce. From personalized awards to company-wide celebrations, these strategies help foster a positive work environment and enhance productivity. Dive into creative solutions such as peer-to-peer recognition programs, milestone celebrations, employee of the month initiatives, and more. Learn how to implement these recognition ideas seamlessly into your company's culture, ensuring every team member feels valued and appreciated. Enhance your corporate culture and drive employee engagement with these practical and impactful recognition methods.
Are your employees overwhelmed with information, or worse, missing out on critical updates? If you suspect your internal communication isn't hitting the mark, you're not alone. Research shows that many organizations lack a formal plan for communicating with their employees.
This comprehensive presentation outlines five essential questions you need to ask in your internal communication audit. By understanding what your employees need, how they prefer to receive information, and where they encounter obstacles, you can transform your internal communication into a powerful tool for engagement and productivity.
We'll guide you through each question, providing insights and actionable steps to improve your communication strategy. From evaluating the timeliness and relevance of your messages to optimizing your communication channels and internal resources, this presentation will empower you to create a more informed, engaged, and productive workforce.
Discover how you can leverage employee surveys and other tools to gather valuable feedback and identify areas for improvement. By investing in your internal communication, you're investing in the success of your organization.
Don't miss out on this opportunity to transform your internal communication. Read our blog post for a deeper dive into this critical topic, and learn how Sogolytics can help you create and manage your internal communication audit.
Uncover the ethical AI dilemmas in HR tech and learn how to ensure fairness in HRMS software, HR & payroll software, and talent management systems. Explore methods to conduct bias audits, use diverse data, enhance transparency, protect data privacy, and foster accountability. Implement these strategies to promote an ethical and inclusive workplace, leveraging AI responsibly in your HR technology.
The shift to remote work has transformed onboarding processes, presenting unique challenges in creating meaningful connections with new hires. By leveraging HRMS software, HR & payroll software, employee portals, and talent management systems, organizations can ensure a seamless and engaging onboarding experience. This blog explores the critical role of these technologies in remote onboarding and provides insights into fostering a culture of connection in a virtual world.
Explore how Artificial Intelligence is reshaping Human Resources across three key areas: recruitment, employee support, and predictive analytics. From AI-driven candidate screening to intelligent chatbots and data-powered insights, discover how these technological advancements are streamlining HR processes, enhancing employee experiences, and empowering HR professionals to make strategic decisions. Learn how embracing AI in HR can prepare organizations for the future of work and drive workforce success.
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The "Teacher - Fully Editable ATS Resume Template" is a meticulously designed tool aimed at educators seeking to make a significant impact in their job applications. This template is crafted with precision to cater to the unique needs of teachers, ensuring it highlights their qualifications, experience, and skills in a manner that stands out to hiring committees while remaining compliant with Applicant Tracking Systems (ATS).
Understanding the competitive nature of the educational sector, this resume template incorporates a clean and professional layout that not only grabs attention but also facilitates easy reading and quick information retrieval. The design is modern yet classic, balancing aesthetic appeal with functional efficiency. The structure is intuitive, guiding the user to fill in relevant sections with ease and ensuring that every critical aspect of their professional profile is prominently displayed.
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Additionally, the template includes sections for professional development, where teachers can list workshops, seminars, and courses attended to further their skills and knowledge.
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AI & DEI: With Great Opportunities Comes Great HR Responsibility
5. Today’s Purpose
Revolutionizing global HR leadership by leading
with AI, growing skills, building trust in the
workforce to mitigate bias, drive business
outcomes and promote DEI&A
1. Opportunity & Responsibility
2. Upskilling HR & DEI&A
3. Power of Trust
11. “In every step of the AI journey, we got more and more efficient.
The difference with GenAI is that the level of efficiency is so
much higher. We’re seeing a substantial increase in efficiency,
more than in any of the other steps that we have done in the last
ten years.
Over time, this will have a huge impact.”
Hans Vestberg, CEO of Verizon
Why is the industry so focused on GenAI?
12. AI generated images are making headlines
They are in fact, KPIs on the Data’s Diversity – or Lack
there of.
Misuse. Misinformation
(includes Hallucinations, Harms)
Are humans or AI more bias?
Bloomberg, 2023
Jen Kirkwood Great Responsibility
13. What has held HR back from AI in the Past may NOT
be always a hurtle today… Money and IT Budget
With the CEO focus on strategy, spending on (gen)AI is increasing.
https://www.horsesforsources.com/big4-lunch-eaten-genai_121723/
Spending outside of the CIO Budget
Great Responsibility
14. CEO NOW Strategy on (gen)AI
3 out of 4 CEO’s stated they plan to or are using GenAI as a
competitive strategy. *
74% of CEOs according to the same study, were convinced
they had the right skills in house to create, build and maintain
GenAI use cases. However, only 29% of the rest of their C
suite team agreed. *
6 months later, things have changed. MIT and BCG reported
only
29% of 4 CEOs felt that were still true. (Dec. 2023)**
* Institute of Business Value, the CEO’s Competitive Guide to Generative AI
World Economic Forum Meeting, Davos, Switzerland, Executive Interviews
** MIT and Boston Consulting Group, Dec. 2023
Opportunity & Responsibility
15. Artificial intelligence system: a machine-based
system that, for explicit or implicit objectives,
infers, from the input it receives, how to
generate outputs such as predictions, content,
recommendations or decisions that can influence
physical or virtual environments.
Generative AI: AI models specifically intended to
produce new digital material as an output (e.g. text,
images, audio, video and software code), including
when such AI models are used in applications and
their user interfaces. These are typically constructed
as machine learning systems that have been trained
on massive amounts of data.
Responsible AI: AI that is developed and
deployed in ways that maximize benefits and
minimize the risks it poses to people, society and
the environment. It is often described by various
principles and organizations, including but not
limited to robustness, transparency, explainability,
fairness and equity.
Responsible transformation: The organizational
effort and orientation to harness the opportunities
and benefits of generative AI while mitigating the
risks to individuals, organizations and society.
Responsible transformation is strategic coordination
and change across an organization’s governance,
operations, talent and communications.
Responsible adoption: The adoption of individual
use cases and opportunities within the responsible
AI framework of an organization. It requires thorough
evaluation to ensure that value can be realized and
change management is successfully aligned with
defined goals in a responsible framework.
Diversity is More Important than Ever
Upskilling in the Age of AI
See definitions from Unlocking Value from Generative: Guidance for Responsible
Transformation, World Economic Forum, Jan. 2024
16. HR is more Important than Ever
New Skills + Experience + Foundational
Artificial Intelligence in Human Resources has
the potential to transform the global workplace.
According to Gartner, 80% of HR is using or
planning to use (gen)AI
AI in tools can help improve the entire candidate- employee
lifecycle. With the ability to automate and eliminate repetitive HR
tasks, this technology empowers HR professionals to focus on
strategic initiatives. IF there is good thought around decision
making.
The impact of AI on HR is a profound change that brings a new era
of responsibility.
And HR needs to lead it.
See additional cases in Unlocking Value from Generative: Guidance for Responsible
Transformation, World Economic Forum, Jan. 2024
Upskilling in the Age of AI
17. HR & Diversity Is Sorely Needed for Responsible AI
Now to Upskill.
“Diversity objectives have finally
become the center focus of AI as
headlines show bias as the headline
an issue executives want to avoid
more than regulatory compliance”
(Gartner, 2023)
Yet when Responsible AI
needs diversity skills so
critically… Organizations are
shedding the skills
One org’s departure is another’s best hire…
18. The Impact …
Why is HR Responsible?
• The workforce is using these tools – Ready or
Not.
• Despite whether there are policies stating
public GPT tools cannot be used for work
purposes, employees are bringing the output to
work if these tools are not robust and provided
for them.
• The impact of using public models at work can
have significant consequences on employees,
brand, compliance, safety and customers.
• Bias exists in all models and must be mitigated
and managed early in ideation, design and in
maintenance.
• Responsible AI Strategy is an imperative for HR
to protect the workforce, organizational risk,
and brand.
Created with Canva AI
19. AI
Literacy
in DEIA
1. When job seekers interact with AI hiring technology, what accommodations or assistance might they ask
for? What information would help given the headlines and issues of trust, privacy?
2.Vendors have been in the news with discrimination and bias in their AI in HR tools.
How can HR ensure fair and equitable tools?
3. How can HR update reasonable accommodation policies to account for any unique aspects of AI HR
technologies
4. The organization needs DEIA and HR Resources from the START of use case creation through the AI life
cycle. Why? Bias starts at the inception of ideas and team formation. Innovation needs diverse and creative
thought.
Opportunity & Responsibility
IBM IBV CEO GenAI Study, 2023
20. Areas of triage for GenAI projects to be successful:
1. Talent and Skills are the center of success in order to drive
growth, revenue and AI strategy. The key enabler in
stakeholders: HR.
2. Change management and workforce adoption were critical
gaps.
3. Data. Without good data; bias & discrimination and poor
outcomes. (GenAI can help with cleaning of the data)
4. We need everyone from leadership and domains in this
effort. Legal. Compliance. HR. Operations.
5. HR is needed to assist the org and embed the DEIA skills
within these roles in learning and culture to retain diverse
teams as tech needs diversity to find the talent and in
other areas (AI Ethics, Legal etc)
Speed to market is key. Skills and good data quickly.
Hear it from the Executives themselves
Upskilling in the Age of AI
21. Not just…
IT
Legal
Compliance
Ops
HR
DEIA
AI should augment human decision making, not
replace it. Where in your processes today do you
have automation or AI where there is zero human
oversight?
Have YOU inventoried every automation & AI in your
ecosystem?
This is a question for all…
Upskilling in the Age of AI
22. Organizations have learned the hard reality in their
generative AI journeys – through failed experiments and
some successes.
On average only 30-40% of experiments are moving to
an enterprise scale. * (data between July- Dec 2023)
Why?
Research:
66% of executives are ambivalent or outright
dissatisfied with their organization's progress on
AI and GenAI so far 62 % citing the reasons on a
lack of talent and skills.****
Upskilling in the Age of AI
What is holding Gen(AI) back from being MORE Successful Overall
(beyond HR)?
* Institute of Business Value, the CEO’s Competitive Guide to Generative AI
* *World Economic Forum Meeting, Davos, Switzerland, Executive Interviews
• * *MIT and Boston Consulting Group, Dec. 2023
• * * * * Gartner
23. Photo selected for lack of diversity
What is Understood What is often not
understood
Consider leveraging AI in this world of work, thoughtfully and with the
human in the loop.
Employers will always carry responsibility when it comes to vendors and
software. Consider third party auditors/ legal, data scientists, outside
experts, and others involved in considering privacy and AI requirements.
Regulations are rarely holding vendors responsible.
If our workforce is not diverse, should we use AI in
sourcing?
What should we consider?
Upskilling in the Age of AI
24. 1. Tailor communication styles to individual
preferences, promoting understanding and
inclusivity.
2. Generate summaries and transcripts of
meetings, making them accessible for those
with hearing impairments or who were absent.
3. Analyze company-wide communications or
employee feedback for unconscious bias or
potential areas of improvement.
4. Assistants as part of the Experience
5. Co-pilots, assistants help offload the tactical
6. Employees love presentation help, calendaring,
word smithing!
DEIA and Gen AI Creativity Cases on the Rise!
Recruiting & Job Descriptions Training & Development Communication & Feedback
1. Reduce bias in job descriptions by using AI
to identify and suggest gender-neutral and
inclusive language. (Please!)
2. Expand talent pools by sourcing candidates
from diverse backgrounds and expand to
include, when possible, accessibility for job
appropriate and neurodiversity (tech,
accounting is great for these!)
3. Create simulated interviews to help
candidates from diverse backgrounds gain
experience and alleviate anxieties.
1. Develop personalized learning
paths to address individual needs
and knowledge gaps.
2. Offer translation and language
learning tools to promote
understanding and
communication in multilingual
teams.
3. Design accessible training
materials (e.g., captions, audio
descriptions) for employees with
disabilities.
25. HR Use Cases of AI with DEIB and Responsible AI
Tech Firm
What
Organization redesigned their HR model after they
implemented an AI assistant solving employees
every tactical issues and managers top priorities. HR
is now coaching, mentoring and AMPLIFICATION of
Diversity, Equity, Inclusion & Accessibility Programs
Outcomes
Using Ethics by Design and Fairness 360, (Open
source models), HR implemented over 300k
employees now using recruiting, skills development,
performance and more. Human in the loop is key
and reviewing the data is key to understand “what is
good.” The data needed to be cleaned and reviewed,
ensuring only diverse data sets were used to avoid
the “Stable Diffusion” effect.
Airlines
What
Organization designed an assessment model of front-line
workers. They dropped the video assessment piece reading the
facial cues (GREAT!) due to bias concerns and instead mapped a
framework of skills to the skills desired in the country using a
global cross walk to the taxonomy they selected as most
appropriate. Legal was consulting along the way.
Outcomes
Responsible AI and OECD Frameworks were created by HR to
assist with explainability, trust, fairness & equity. Technical help
assisted and together Factsheets were produced so recruiters
could answer questions by candidates, employees when needed
and send to marketing and other departments (by persona). This
helped with career branding of their portal and communications
for those applying including those with accommodations whose
questions may have differed. Overall they hired quicker and a
recruiter also assigned in workflows to overview those who were
declined and dispositioned. Human in the loop!
Upskilling in the Age of AI
26. Cases Needing Oversight
Workforce Management: Intelligent forecasting tools are leveraging AI
to predict better staffing and scheduling (leveraging multiple systems
now with GenAI)/ Be careful the training date and assumptions. Too
often the design “team” is 1-2 people in procurement creating a model
they do not think is AI that impact humans…and laws.
Procurement: Supplier bias mitigation leveraging AI in the model.
Assessment Tools: Some still use facial recognition despite
regulations and legal cases. EU Act is coming… Many US and
UK/Europe/ France/Germany state laws.
Assessments- Leveraging interviewing questions using AI that is using
limited voice mapping, maps to skills in countries using only US jobs
with no mapping to global frameworks
Accessibility Tools- Workflows, learning, and content NOT giving
required by law content that is accessible.
Always check privacy laws, regulations.
27. How do I start educating my team on Responsible AI
1.
2.
3. 4.
Open Tech Responsible
AI Academies, online
training but also invest in
yourself and your team to get
certifications that are
necessary or from 3rd parties
quickly.
Educate your HR
& Diversity Team
in AI & Data
Literacy
HR needs to build the skills for all use
cases, Responsible AI and DEIB as it is
embedded safety against the biggest
harms. Learning, policies and content
should be created by personas.
Assess the skills in your
organization
Persona-based In
order to build
effective guardrails,
HR must be at the
beginning of creating
ideas AND able to
leverage tech for HR
use and future scale.
Insert HR Leadership and
Expertise with DEIB and
the “Pillars” at the
creation START of use case
design (NOT END)
Take this team next
level to build the future
roadmap for HR and
DEIB
AI is advancing quickly
and results will be
expected financially
very soon. This team of
super skills can stay
ahead.
Build the HR Super SWOT
Team in AI Ethics
IBM Academy has open
education on AI Ethics,
Responsible AI for
certification
Power of Trust with HR
28. DEIA Is Needed More Than Ever for CEO Strategy
CEO Strategies depend on HR leadership to ensure competitive strategies
leveraging AI are successful
Power of Trust with HR
New business opportunity in business- productivity, revenue, and
efficiency depends on HR to be successful
HR can seize the opportunity to upskill and learn new skills in
Responsible AI as well as help the organization in other critical
areas (tech, customer, etc)
Trust- HR leadership understands workforce adoption change
management and ethics and can help drive use cases OUTSIDE of
HR to scale
31. Our HR DEIA Thought Leadership and AI Ethics at Work –
Workforce Literacy Starts With Leadership Data Literacy
31
CEO decision-making in
the age of AI
Foundation Models:
Opportunities, Risks &
Mitigations
Augmented work for an
automated, AI-driven
world
AI ethics in action Generating ROI with AI
Enterprise generative AI:
State of the market
World Economic Forum AI Governance Alliance
https://initiatives.weforum.org/ai-governance-alliance/home
IBM at the World Economic Forum Annual Meeting 2024
https://www.ibm.com/events/world-economic-forum
Balancing AI: “Do good” and avoid harm – January 25, 2024 Blog by Jennifer
Kirkwood
https://www.ibm.com/blog/balancing-ai-do-good-and-avoid-harm/
World Economic Forum
Generative AI Series, Jan. 2024
Briefing Paper Series (250
Global Organizations on
GenAI)
https://www.weforum.org/pu
blications/ai-governance-
alliance-briefing-paper-
series/
Power of Trust with HR