Social challenges: ethics, fairness and privacy

Understanding Artificial Intelligence

Iason Prassides

Content Developer, DataCamp

Responsible AI

Responsible AI: Ethical and accountable development and use of AI systems, with regard to societal impact

 

Areas of responsible AI

Understanding Artificial Intelligence

Responsible AI

Responsible AI: Ethical and accountable development and use of AI systems, with regard to societal impact

 

Areas of responsible AI

Understanding Artificial Intelligence

Responsible AI

Responsible AI: Ethical and accountable development and use of AI systems, with regard to societal impact

 

Areas of responsible AI

Understanding Artificial Intelligence

Responsible AI

Responsible AI: Ethical and accountable development and use of AI systems, with regard to societal impact

 

Areas of responsible AI

Understanding Artificial Intelligence

Responsible AI

Responsible AI: Ethical and accountable development and use of AI systems, with regard to societal impact

 

Areas of responsible AI

Understanding Artificial Intelligence

Responsible AI

Responsible AI: Ethical and accountable development and use of AI systems, with regard to societal impact

 

Areas of responsible AI

Understanding Artificial Intelligence

Responsible AI

Responsible AI: Ethical and accountable development and use of AI systems, with regard to societal impact

 

Areas of responsible AI

Understanding Artificial Intelligence

Ethics and fairness

AI ethics: adhere to ethical guidelines and principles:

  • Fairness
  • Transparency
  • Privacy
  • Accountability
  • Liability for AI decisions

Fairness

Understanding Artificial Intelligence

Ethics and fairness

AI ethics: adhere to ethical guidelines and principles.

  • Fairness
  • Transparency
  • Privacy
  • Accountability
  • Liability for AI decisions

Fairness to mitigate bias

Understanding Artificial Intelligence

Ethics and fairness

AI ethics: adhere to ethical guidelines and principles.

  • Fairness
  • Transparency
  • Privacy
  • Accountability
  • Liability for AI decisions

Sources of bias

Understanding Artificial Intelligence

Bias in AI systems: examples

Screening job resumes
  • Biased training data: mostly male hirings
  • Unfair treatment of female candidates
  • Solutions: active data collection, bias-correction algorithms

Data bias in job screening system

Data bias in job screening system

E-commerce recommendations

Algorithmic bias in recommendations

Understanding Artificial Intelligence

Bias in AI systems: examples

Screening job resumes
  • Biased training data: mostly male
  • Unfair treatment of female candidates
  • Solutions: active data collection, bias-correction algorithms

Data bias in job screening system

Data bias in job screening system

E-commerce recommendations
  • Popular products are overly promoted
  • New or different products are disregarded
  • Solutions: techniques and metrics for diverse and fair recommendations

Algorithmic bias in recommendations

Understanding Artificial Intelligence

Data privacy in AI systems

Data privacy: safeguarding sensitive or personal information from unauthorized access and misuse

Data privacy

Understanding Artificial Intelligence

Data privacy in AI systems

Data privacy: safeguarding sensitive or personal information from unauthorized access and misuse

Data privacy measures

1 GDPR: General Data Protection Regulation. CCPA: California Consumer Privacy Act.
Understanding Artificial Intelligence

Data privacy in AI systems

Data privacy: safeguarding sensitive or personal information from unauthorized access and misuse

Data privacy measures and risks

1 GDPR: General Data Protection Regulation. CCPA: California Consumer Privacy Act.
Understanding Artificial Intelligence

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Understanding Artificial Intelligence

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