Regulations and Standards for Ethical AI
( 25 Modules )

Module #1
Introduction to Ethical AI
Overview of the importance of ethical AI, key concepts, and course objectives

Module #2
Ethical AI Principles
Exploring the principles of transparency, accountability, fairness, and explainability in AI systems

Module #3
AI Ethics Frameworks
Introduction to prominent AI ethics frameworks, such as IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems

Module #4
Regulatory Landscape
Overview of the current regulatory landscape for AI, including GDPR, CCPA, and emerging regulations

Module #5
Data Protection and Privacy
In-depth look at data protection and privacy regulations, including data minimization, anonymization, and encryption

Module #6
Fairness and Non-Discrimination
Understanding the importance of fairness and non-discrimination in AI systems, including bias detection and mitigation

Module #7
Transparency and Explainability
Methods for achieving transparency and explainability in AI systems, including model interpretability techniques

Module #8
Accountability and Liability
Examining accountability and liability in AI systems, including the role of human oversight and accountability mechanisms

Module #9
Human-Centered Design
Introduction to human-centered design principles for AI systems, including user experience and usability considerations

Module #10
Risk Management and Insurance
Managing risk and exploring insurance options for AI systems, including cyber insurance and liability coverage

Module #11
Standards for Autonomous Systems
Overview of standards for autonomous systems, including UL 4600 and ANSI/UL 4600

Module #12
Robotics and Autonomous Systems
Regulations and standards specific to robotics and autonomous systems, including ISO 26262

Module #13
AI in Healthcare
Regulations and standards for AI in healthcare, including HIPAA and FDA guidelines

Module #14
AI in Financial Services
Regulations and standards for AI in financial services, including GDPR, CCPA, and Basel Accords

Module #15
AI in Transportation
Regulations and standards for AI in transportation, including SAE J3016 and EU regulations

Module #16
AI in Education
Regulations and standards for AI in education, including FERPA and COPPA

Module #17
Certification and Compliance
Overview of certification and compliance programs for AI systems, including ISO 27001 and SOC 2

Module #18
Ethical AI in Practice
Case studies and real-world examples of ethical AI in practice, including industry-specific applications

Module #19
Auditing and Assessment
Methods for auditing and assessing AI systems for ethical compliance, including risk assessments and gap analyses

Module #20
Implementing Ethical AI
Practical guidance on implementing ethical AI principles in organizations, including policy development and governance

Module #21
AI Ethics and Human Rights
Exploring the intersection of AI ethics and human rights, including the right to privacy and non-discrimination

Module #22
Global AI Ethics Initiatives
Overview of global AI ethics initiatives, including the OECD AI Principles and the Montreal Declaration

Module #23
Future of AI Regulation
Examining the future of AI regulation, including emerging trends and potential changes to the regulatory landscape

Module #24
Conclusion and Next Steps
Summary of key takeaways and next steps for implementing ethical AI principles in practice

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Regulations and Standards for Ethical AI career

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Regulations and Standards for Ethical AI ( 25 Modules )

Regulations and Standards for Ethical AI
( 25 Modules )