Five months ago, our Perspectives series launched with "Responsible AI: What it Means and Why it Matters," authored by Andrew Marlatt, PMP, Finch AI's Director of Data Science. "At Finch, we are steadfast in our belief that responsible AI makes for better AI, and as every industry, every agency and every sector of the economy continues to benefit from AI’s enormous and transformative potential, developing responsibly will become more important than ever." Learn more about the Finch approach to responsible AI: https://lnkd.in/eAvUBS_J #AI #datascience #nationalsecurity
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We're kicking off our 2024 Perspectives with the first in a series of articles authored by Andrew Marlatt, PMP, Finch AI's Director of Data Science. In "Responsible AI: What it Means and Why it Matters," he emphasizes, "At Finch, we are steadfast in our belief that responsible AI makes for better AI, and as every industry, every agency and every sector of the economy continues to benefit from AI’s enormous and transformative potential, developing responsibly will become more important than ever." Read more: https://lnkd.in/eAvUBS_J #AI #datascience #nationalsecurity
Responsible AI: What it Means and Why it Matters - FinchAI
https://finchai.com
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Artificial intelligence regulation is a hot topic. In new policy briefs, MIT researchers look at large language models, “pro-worker AI,” and labels for AI-generated content. https://lnkd.in/e_fqKBh6
MIT experts recommend policies for safe, effective use of AI | MIT Sloan
mitsloan.mit.edu
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𝐃𝐢𝐯𝐢𝐧𝐠 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐫𝐞𝐚𝐥𝐦 𝐨𝐟 𝐀𝐈 𝐫𝐞𝐠𝐮𝐥𝐚𝐭𝐢𝐨𝐧! 🔍🤖 MIT researchers present insightful policy briefs addressing critical facets, including the scrutiny of large language models, the concept of "𝐩𝐫𝐨-𝐰𝐨𝐫𝐤𝐞𝐫 𝐀𝐈," and the need for effective labelling in AI-generated content. 🌐🤯📑 #AIRegulation #MITResearch #EthicalAI #TechPolicy #AIInnovation 🚀🔗
Artificial intelligence regulation is a hot topic. In new policy briefs, MIT researchers look at large language models, “pro-worker AI,” and labels for AI-generated content. https://lnkd.in/e_fqKBh6
MIT experts recommend policies for safe, effective use of AI | MIT Sloan
mitsloan.mit.edu
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Agree with the recommendation of verifiable attribution, hard-to-remove watermarks, better guardrails, and auditability.
Artificial intelligence regulation is a hot topic. In new policy briefs, MIT researchers look at large language models, “pro-worker AI,” and labels for AI-generated content. https://lnkd.in/e_fqKBh6
MIT experts recommend policies for safe, effective use of AI | MIT Sloan
mitsloan.mit.edu
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IT Manager | Digital Transformation | Product Management Lean, Agile and System Design Thinking | Innovation
AI experts recommend policies for safe, effective use of AI!
Artificial intelligence regulation is a hot topic. In new policy briefs, MIT researchers look at large language models, “pro-worker AI,” and labels for AI-generated content. https://lnkd.in/e_fqKBh6
MIT experts recommend policies for safe, effective use of AI | MIT Sloan
mitsloan.mit.edu
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As AI has seen a surge of interest and development in recent years, its influence extends beyond technology, shaping the language. This glossary aims to explain the key concepts related to AI and provide a comprehensive guide to the most commonly used AI term. https://lnkd.in/dTdz6jru
How AI Reshapes Vocabulary: Unveiling the Most Used Terms Related to the Technology
https://journal.everypixel.com
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🚨BREAKING: The Allen Institute for AI (AI2) has unveiled OLMo, a large language model that is COMPLETELY open-source, providing unprecedented transparency into its inner workings. Make no mistake, this is a BIG deal. Forget the capabilities of the model for now, this is a statement of intent from the open source AI community. It feels like this is a moment that may be remembered as an inflection point for AI. Talk about setting the tone for 2024 😅 I'll have lots more to share, but for now, you can learn more about the release here: https://lnkd.in/eGQWRWpQ #opensource #ai
AI2 Unveils OLMo, the "First Truly Open" Large Language Model
maginative.com
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Trust is not a single feeling, but a complex and dynamic phenomenon. It shapes how we perceive and interact with the world around us, including the artificial AI technologies that are becoming more prevalent in our lives. Learn more about navigating trust in the age of large language models and generative AI in Part 5 of this learning series. #AI #Trust #GenerativeAI #MSFTAdvocate
Decoding AI: Part 5, Navigating trust in the age of large language models and generative AI - Azure Government
https://devblogs.microsoft.com/azuregov
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Trust is not a single feeling, but a complex and dynamic phenomenon. It shapes how we perceive and interact with the world around us, including the artificial AI technologies that are becoming more prevalent in our lives. Learn more about navigating trust in the age of large language models and generative AI in Part 5 of this learning series. #AI #Trust #GenerativeAI #MSFTAdvocate
Decoding AI: Part 5, Navigating trust in the age of large language models and generative AI - Azure Government
https://devblogs.microsoft.com/azuregov
