1.
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Responsible AI in the
Enterprise
Realizing ethical AI in practice
Image Source: Beatriz Pérez Moya
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2.
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Should a provider
reveal underlying
AI clinical decision
support systems
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3.
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When an AI
doctor
misdiagnoses
you
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4.
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AI can detect
mental health
issues on
social media
posts
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5.
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Target
predicts a
teenage
pregnancy
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6.
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Bias in
healthcare
decision-
making
algorithms
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7.
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AI can detect mental health
issues on social media
posts
Bias in healthcare decision-
making algorithms
Medical practitioners AI clinical
decision support systems
Image Source: Khyati Trehan

8.
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A lack of responsible AI and it’s impact
62% reported lost revenue
61% lost customers
43% lost employees
35%
incurred legal fees
due to lawsuits or
legal action
Source: DataRobot Survey, 2021
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9.
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52% of organizations
have RAI programs
Leaders agree that responsible AI should be a top management concern, few
have prioritized such initiatives.
84% believe RAI
should be a top
management priority
20% have a fully
implemented responsible
AI program
Source: 2022 Responsible AI Global Study, MIT
Image Source: Dane Deaner
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10.
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Data science lifecycle with RAI
Input data
EDA, Pre-processing
and feature engineering
and selection
Model
development
Prediction
Deployment
Business
understanding and
hypothesis testing
Monitoring
Model management
Model accountability
Model
evaluation
Model
selection
Prediction bias
Bias, XAI & Drifts Data privacy
RAI definition Data privacy XAI & Model bias & privacy
Data bias

11.
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More
Regulation,
More Business
Complexities
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12.
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IndiaAI |
NASSCOM
Responsible AI
Resource Kit
RESPONSIBLE AI RESOURCE KIT
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