AI Accountability Essential Training
Overview
Learn why it's absolutely crucial for AI-related data science work to be transparent, explainable, accountable, and ethical in its design and execution.
Artificial intelligence (AI) offers businesses the potential for a dramatic increase in functionality and profitability, but it can also spark an array of complex ethical, legal, and social challenges. In this nontechnical, conceptually oriented course, Barton Poulson digs into the hazards of AI, offering potential solutions to key concerns. Barton explores the ethical issues posed by AI, including competing concepts of fairness and moral reasoning. He also goes over social concerns and safety challenges for AI, such as potential life-and-death scenarios in autonomous driving. Barton concludes with recommendations tailored to developers, executives, PR professionals, regulators, and consumers to help them reap the potential of AI in a manner that's worthy of trust and profitable to all.
Artificial intelligence (AI) offers businesses the potential for a dramatic increase in functionality and profitability, but it can also spark an array of complex ethical, legal, and social challenges. In this nontechnical, conceptually oriented course, Barton Poulson digs into the hazards of AI, offering potential solutions to key concerns. Barton explores the ethical issues posed by AI, including competing concepts of fairness and moral reasoning. He also goes over social concerns and safety challenges for AI, such as potential life-and-death scenarios in autonomous driving. Barton concludes with recommendations tailored to developers, executives, PR professionals, regulators, and consumers to help them reap the potential of AI in a manner that's worthy of trust and profitable to all.
Syllabus
Introduction
- Accountable artificial intelligence
- The promise of AI
- General and narrow AI
- The challenge of classification errors
- The causes of classification errors
- Bias in AI
- Supervised and unsupervised learning
- Biased labeling of data
- Construct validity
- Seeing the wrong thing
- The absence of meaning
- Vulnerability to attacks
- Attacking AI
- Protecting AI
- Dimensions of justice
- Justice and AI
- Moral reasoning
- Relational ethics
- Issues of authenticity
- General Data Protection Regulation (GDPR)
- Spurious discrimination
- The right to explanation
- Discrimination in data
- Discrimination in implementation
- Liability
- Accountability laws
- AI in life and death situations
- AI in the military
- The challenges of military AI
- Strategies for developers
- Strategies for executives
- Strategies for public relations
- Strategies for regulators
- Strategies for consumers
- Next steps
Taught by
Barton Poulson
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