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Bias can be
conscious –
we are aware
Bias can be unconscious
– they happen outside
of our own awareness
In science and
engineering, a bias
is a systematic
error. Statistical
bias results from an
unfair sampling of a
population, or from
an estimation proce
ss that does not
give accurate
results on average
Bias is a
disproportionate
weight in favor of or
against an idea or
thing, usually in a way
that is inaccurate,
closed-minded,
prejudicial, or unfair.
Tendency, Inclination, or Prejudice
towards or against something or
someone
Influences Decision-making , Perception
and Behaviour
Bias
Only 6% of SD&P 500 companies are run by Women
(83%) of those who experience bias report it as
subtle or in the form of microaggressions
60% of employees report experiencing bias in their
workplace
Experiencing or witnessing bias can negatively impact
employee productivity by up to 68%
39% of respondents reported experiencing bias at least once a month
Unconscious bias costs businesses $64 billion
annually due to factors like replacing employees
and lost productivity
Some Stats
Confirmation Bias:
• Interpreting evidence
to confirm
preconceptions.
• Example: Assuming
guilt of sub-
postmasters without
thorough examination.
Attribution Bias:
• Attributing actions to internal
factors over external
circumstances.
• Example: Blaming sub-
postmasters for accounting
discrepancies without
considering faulty technology.
Authority Bias:
• Placing
undue trust
in authority
figures.
• Example:
Accepting
Post Office
managemen
t assertions
without
scrutiny.
Outcome Bias:
• Judging decisions
based on outcomes
rather than the
decision-making
process.
• Example: Justifying
harsh actions
based on financial
losses without fair
evaluation.
Groupthink:
• Prioritizing
consensus over
critical
evaluation.
• Example:
Organizational
pressure to
maintain unity,
overlooking
mistreatment of
sub-postmasters.
Exploring Bias
in the Post
Office Scandal:
A Deep Dive
Alex begins the team formation
process by carefully reviewing the
qualifications and expertise of
each candidate who has applied
for the project. Rather than
relying on personal preferences
or affiliations, Alex prioritizes
selecting team members based
solely on their relevant skills,
experience, and fit for the project
requirements.
Sarah, a project manager in
a software development
company, is responsible for
forming a team for a new
mobile application project.
Despite receiving
applications from a diverse
pool of candidates with
varied educational
backgrounds, Sarah
primarily selects developers
who have graduated from
prestigious universities,
mirroring her alma mater.
Bias Y/N ?
Bias Y/N ?
Affinity Bias
Bias : Y/N
Similarity bias or in-group bias,
refers to the tendency of
individuals to favor others who are
similar to themselves in some way
Acknowledg
e the
existence of
bias
Provide training and resources
on various types of bias (
workshops, seminars, or online
courses )
Promote diversity and inclusion
Encourage objective and merit-based decision-
making
Foster collaboration and communication
among team members with diverse
perspectives, skills, and experiences.
Regularly assess and monitor for signs of
bias or inequity, and take corrective actions
as needed
Avoiding Bias
Benefits of
Tackling Bias
In the BBC series "The
Apprentice," analysis is
conducted by Alan Sugar during
board meetings on teams that
have failed. It would be
beneficial to identify biases that
may unknowingly creep in.
Identify these biases with
reasoning and present them on a
single slide
Understanding Bias: Its Impact on the Workplace and Individuals
Identifying Unconscious Bias in Alan Sugar's Team
Analysis
Confirmation Bias:
•Description: Alan
Sugar may
unconsciously seek
evidence confirming
his initial beliefs
about the failed
team.
•Reasoning: He might
focus on information
aligning with his
preconceptions,
overlooking
contradictory
evidence.
Anchoring Bias:
•Description: Alan
Sugar might rely
heavily on initial
information or
impressions of the
team's performance.
•Reasoning: His first
impressions may
influence subsequent
evaluations, limiting
consideration of
alternative
viewpoints.
Hindsight Bias:
•Description: Alan
Sugar could
overestimate his
ability to predict the
team's failure after
the fact.
•Reasoning: He may
retroactively
perceive the team's
mistakes as more
obvious than they
were at the time.
Attribution Bias:
•Description: Alan
Sugar may attribute
the team's failure
primarily to internal
factors.
•Reasoning: He might
overlook external
influences, such as
market conditions,
impacting the team's
performance.
Outcome Bias:
•Description: Alan
Sugar might judge
the team's decisions
solely based on the
outcome.
•Reasoning: He may
overlook the quality
of the team's
decision-making
process if the
outcome is
unfavorable.
Bias is a normal part of human
thinking
It's important to be aware of it. Some tips
for reducing bias
• Recognize your own
biases: Everyone has them! Reflect
on your own background and
experiences to identify potential
biases.
• Seek out diverse
perspectives: Expose yourself to
information and viewpoints that
challenge your own.
• Be mindful of your language: The
words we use can reveal
unconscious biases.
Analyze Your
own bias
• Project Implicit: Take a free
online test to identify your own
unconscious
biases: https://implicit.harvard.
edu/implicit/takeatouchtestv2.h
tml
• BBC - Action Line: Report
potential bias at the
BBC: https://www.bbc.co.uk/ac
tionline/

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Understanding Bias: Its Impact on the Workplace and Individuals

  • 1. Bias can be conscious – we are aware Bias can be unconscious – they happen outside of our own awareness In science and engineering, a bias is a systematic error. Statistical bias results from an unfair sampling of a population, or from an estimation proce ss that does not give accurate results on average Bias is a disproportionate weight in favor of or against an idea or thing, usually in a way that is inaccurate, closed-minded, prejudicial, or unfair. Tendency, Inclination, or Prejudice towards or against something or someone Influences Decision-making , Perception and Behaviour Bias
  • 2. Only 6% of SD&P 500 companies are run by Women (83%) of those who experience bias report it as subtle or in the form of microaggressions 60% of employees report experiencing bias in their workplace Experiencing or witnessing bias can negatively impact employee productivity by up to 68% 39% of respondents reported experiencing bias at least once a month Unconscious bias costs businesses $64 billion annually due to factors like replacing employees and lost productivity Some Stats
  • 3. Confirmation Bias: • Interpreting evidence to confirm preconceptions. • Example: Assuming guilt of sub- postmasters without thorough examination. Attribution Bias: • Attributing actions to internal factors over external circumstances. • Example: Blaming sub- postmasters for accounting discrepancies without considering faulty technology. Authority Bias: • Placing undue trust in authority figures. • Example: Accepting Post Office managemen t assertions without scrutiny. Outcome Bias: • Judging decisions based on outcomes rather than the decision-making process. • Example: Justifying harsh actions based on financial losses without fair evaluation. Groupthink: • Prioritizing consensus over critical evaluation. • Example: Organizational pressure to maintain unity, overlooking mistreatment of sub-postmasters. Exploring Bias in the Post Office Scandal: A Deep Dive
  • 4. Alex begins the team formation process by carefully reviewing the qualifications and expertise of each candidate who has applied for the project. Rather than relying on personal preferences or affiliations, Alex prioritizes selecting team members based solely on their relevant skills, experience, and fit for the project requirements. Sarah, a project manager in a software development company, is responsible for forming a team for a new mobile application project. Despite receiving applications from a diverse pool of candidates with varied educational backgrounds, Sarah primarily selects developers who have graduated from prestigious universities, mirroring her alma mater. Bias Y/N ? Bias Y/N ? Affinity Bias Bias : Y/N Similarity bias or in-group bias, refers to the tendency of individuals to favor others who are similar to themselves in some way
  • 5. Acknowledg e the existence of bias Provide training and resources on various types of bias ( workshops, seminars, or online courses ) Promote diversity and inclusion Encourage objective and merit-based decision- making Foster collaboration and communication among team members with diverse perspectives, skills, and experiences. Regularly assess and monitor for signs of bias or inequity, and take corrective actions as needed Avoiding Bias
  • 6. Benefits of Tackling Bias In the BBC series "The Apprentice," analysis is conducted by Alan Sugar during board meetings on teams that have failed. It would be beneficial to identify biases that may unknowingly creep in. Identify these biases with reasoning and present them on a single slide
  • 8. Identifying Unconscious Bias in Alan Sugar's Team Analysis Confirmation Bias: •Description: Alan Sugar may unconsciously seek evidence confirming his initial beliefs about the failed team. •Reasoning: He might focus on information aligning with his preconceptions, overlooking contradictory evidence. Anchoring Bias: •Description: Alan Sugar might rely heavily on initial information or impressions of the team's performance. •Reasoning: His first impressions may influence subsequent evaluations, limiting consideration of alternative viewpoints. Hindsight Bias: •Description: Alan Sugar could overestimate his ability to predict the team's failure after the fact. •Reasoning: He may retroactively perceive the team's mistakes as more obvious than they were at the time. Attribution Bias: •Description: Alan Sugar may attribute the team's failure primarily to internal factors. •Reasoning: He might overlook external influences, such as market conditions, impacting the team's performance. Outcome Bias: •Description: Alan Sugar might judge the team's decisions solely based on the outcome. •Reasoning: He may overlook the quality of the team's decision-making process if the outcome is unfavorable.
  • 9. Bias is a normal part of human thinking It's important to be aware of it. Some tips for reducing bias • Recognize your own biases: Everyone has them! Reflect on your own background and experiences to identify potential biases. • Seek out diverse perspectives: Expose yourself to information and viewpoints that challenge your own. • Be mindful of your language: The words we use can reveal unconscious biases.
  • 10. Analyze Your own bias • Project Implicit: Take a free online test to identify your own unconscious biases: https://implicit.harvard. edu/implicit/takeatouchtestv2.h tml • BBC - Action Line: Report potential bias at the BBC: https://www.bbc.co.uk/ac tionline/