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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Ethical AI Development and Governance
( 25 Modules )

Module #1
Introduction to Ethical AI
Overview of the importance of ethical AI development and governance, and the goals of the course.
Module #2
AI Ethics Fundamentals
Foundational concepts in AI ethics, including fairness, transparency, accountability, and explainability.
Module #3
AI Risks and Challenges
Discussion of the risks and challenges associated with AI development, including bias, job displacement, and cybersecurity threats.
Module #4
Regulatory Landscape
Overview of current regulations and guidelines related to AI development, including GDPR, CCPA, and OECD principles.
Module #5
Human-Centered Design
Introduction to human-centered design principles and how they can be applied to AI development to prioritize human well-being.
Module #6
Fairness and Bias in AI
In-depth exploration of fairness and bias in AI, including sources of bias, measurement techniques, and mitigation strategies.
Module #7
Transparency and Explainability
Methods for achieving transparency and explainability in AI systems, including model interpretability and feature attribution.
Module #8
Accountability in AI
Mechanisms for ensuring accountability in AI development, including auditing, testing, and certification.
Module #9
Privacy and Data Protection
Best practices for protecting user privacy and data in AI development, including data minimization and anonymization.
Module #10
Human-AI Collaboration
Design principles and strategies for effective human-AI collaboration, including human-centered AI and augmented intelligence.
Module #11
Value Alignment
Approaches to value alignment in AI development, including value-based design and objective specification.
Module #12
AI Governance Frameworks
Overview of AI governance frameworks, including the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems.
Module #13
Organizational Ethics
Strategies for implementing ethical AI development practices within organizations, including ethics committees and whistleblowing mechanisms.
Module #14
AI Auditing and Risk Assessment
Methods for auditing and assessing AI systems for ethical risks, including bias audits and impact assessments.
Module #15
AI and Human Rights
Exploration of the human rights implications of AI development, including freedom of expression, privacy, and non-discrimination.
Module #16
AI and Employment
Discussion of the impact of AI on employment, including job displacement, automation, and the future of work.
Module #17
AI and Environment
Exploration of the environmental implications of AI development, including energy consumption, e-waste, and sustainable AI practices.
Module #18
International Cooperation and Standards
Overview of international efforts to establish standards and guidelines for ethical AI development, including the OECD AI Principles.
Module #19
Case Studies in Ethical AI
In-depth exploration of real-world examples of ethical AI development, including successes and failures.
Module #20
Ethical AI in High-Risk Domains
Discussion of ethical AI development in high-risk domains, including healthcare, finance, and transportation.
Module #21
Public Engagement and Participation
Strategies for engaging the public in AI development and ensuring their participation in decision-making processes.
Module #22
Education and Training
Importance of education and training in ethical AI development, including curriculum design and professional development.
Module #23
Certification and Credentialing
Discussion of certification and credentialing programs for ethical AI professionals, including IEEEs Certified AI and Ethics Professional program.
Module #24
Future of Ethical AI Development
Exploration of the future of ethical AI development, including emerging trends, challenges, and opportunities.
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Ethical AI Development and Governance career


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