Case Studies in AI Ethics and Policy
( 30 Modules )

Module #1
Introduction to AI Ethics and Policy
Overview of the importance of ethics and policy in AI development and deployment

Module #2
AI and Bias:Understanding the Problem
Exploring the concept of bias in AI systems and its consequences

Module #3
Case Study:Facial Recognition and Racial Bias
Analyzing the controversy surrounding facial recognition technology and racial bias

Module #4
AI and Job Displacement:Economic and Social Impacts
Examining the potential effects of AI on employment and the economy

Module #5
Case Study:Automation in Manufacturing and the Impact on Workers
Investigating the consequences of automation on manufacturing jobs and communities

Module #6
AI and Healthcare:Balancing Benefits and Risks
Delving into the ethical considerations of AI in healthcare, including data privacy and accountability

Module #7
Case Study:AI-Assisted Diagnosis and Liability
Exploring the legal and ethical implications of AI-assisted diagnosis in healthcare

Module #8
AI and Surveillance:Balancing National Security and Privacy
Examining the tension between national security concerns and individual privacy rights in the context of AI-powered surveillance

Module #9
Case Study:AI-Enhanced Surveillance in Law Enforcement
Analyzing the use of AI-powered surveillance tools in law enforcement and their implications for privacy and civil liberties

Module #10
AI and Environmental Sustainability
Investigating the potential of AI to contribute to environmental sustainability and the ethical considerations involved

Module #11
Case Study:AI and Climate Change Mitigation
Exploring the role of AI in climate change mitigation and the ethical implications of AI-driven climate solutions

Module #12
AI and Autonomous Systems:Ethical and Policy Considerations
Delving into the ethical and policy implications of autonomous systems, including self-driving cars and drones

Module #13
Case Study:Self-Driving Cars and Liability
Analyzing the ethical and legal implications of self-driving cars, including liability and accountability

Module #14
AI and Education:Opportunities and Concerns
Examining the benefits and drawbacks of AI in education, including personalized learning and bias in AI-driven grading

Module #15
Case Study:AI-Assisted Grading and Bias
Investigating the risks of bias in AI-assisted grading and the implications for educational equity

Module #16
AI and Governance:Regulation and Oversight
Exploring the role of governance in AI development and deployment, including regulatory frameworks and oversight mechanisms

Module #17
Case Study:AI Regulation in the European Union
Analyzing the European Unions approach to AI regulation and its implications for industry and society

Module #18
AI and Human Rights:Emerging Concerns
Examining the intersection of AI and human rights, including discrimination, privacy, and freedom of expression

Module #19
Case Study:AI-Driven Social Media Censorship
Investigating the ethical implications of AI-driven social media censorship and its impact on freedom of expression

Module #20
AI and Cybersecurity:Threats and Responses
Delving into the cybersecurity threats posed by AI and the strategies for mitigation and defense

Module #21
Case Study:AI-Enhanced Cyberattacks and Defense
Analyzing the role of AI in cyberattacks and defense, including AI-powered intrusion detection and response

Module #22
AI and International Relations:Global Governance and Cooperation
Examining the implications of AI for international relations, including global governance and cooperation

Module #23
Case Study:AI-Driven International Conflict and Diplomacy
Investigating the potential impact of AI on international conflict and diplomacy, including AI-driven decision-making and autonomous weapons

Module #24
AI and Professional Ethics:Responsibilities and Accountabilities
Exploring the responsibilities and accountabilities of professionals in AI development and deployment

Module #25
Case Study:AI Developers Responsibilities and Accountabilities
Analyzing the ethical and professional responsibilities of AI developers, including codes of conduct and ethics guidelines

Module #26
AI and Public Trust:Building and Maintaining Trust
Delving into the importance of public trust in AI development and deployment, including transparency and explainability

Module #27
Case Study:AI Transparency and Explainability in Healthcare
Investigating the role of transparency and explainability in AI-driven healthcare, including model interpretability and accountability

Module #28
AI and Inclusion:Designing for Diversity and Accessibility
Examining the importance of inclusivity and accessibility in AI design, including diversity and representation

Module #29
Case Study:AI-Driven Accessibility in Education
Analyzing the potential of AI to enhance accessibility in education, including AI-driven learning tools and accommodations

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Case Studies in AI Ethics and Policy career

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Case Studies in AI Ethics and Policy ( 30 Modules )

Case Studies in AI Ethics and Policy
( 30 Modules )