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AI+ Ethics™ 2.0
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Module 1: Overview of AI Ethics & Societal Impact
Module 1: Overview of AI Ethics & Societal Impact
1.1 Module Introduction: Overview of AI Ethics & Societal Impact
1.2 Topic 1.1: Introduction to Ethical Considerations in AI
1.3 Topic 1.2: Understanding the Societal Impact of AI Technologies
1.3.1 1.2.1 Introduction to AI and its Societal Significance
1.4 1.2.2 AI and Employment
1.5 1.2.3: AI’s Impact on the Economy
1.6 1.2.4: Ethics and Privacy in the Age of AI
1.7 1.2.5: AI and Social Interaction
1.8 1.2.6: Lifestyle Changes Driven by AI
1.9 1.2.7: AI in Healthcare
1.10 1.2.8: AI in Education
1.11 1.2.9: AI and the Environment
1.12 Topic 1.3: Strategies for Conducting Social and Ethical Impact Assessments
1.12.1 1.3.1: Framework Establishment and Stakeholder Involvement
1.13 1.3.2: Assessment Process and Methodologies And Reporting, Recommendations, and Continuous Monitoring
1.14 Summary: Overview of AI Ethics & Societal Impact
Quiz
Module 2: Understanding AI Ethics and Governance
Module 2: Understanding AI Ethics and Governance
2.1 Module Introduction: Bias and Fairness in AI
2.2 Topic 2.1 Exploration of Biases in Data and Algorithms
2.3 2.1.1 Data Collection and Representation
2.4 2.1.2 Algorithmic Bias Detection and Management
2.5 2.1.3 Bias Impact on Decision-Making
2.6 2.1.4 Ethical and Regulatory Considerations
2.7 Topic 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
2.8 2.2.1 Develop Diverse Data Sets
2.9 2.2.2 Promote Algorithmic Transparency
2.10 2.2.3 Conduct Regular Auditing
2.11 2.2.4 Adhere to Ethical AI Frameworks
2.12 2.2.5 Stakeholder Involvement
2.13 Summary: Bias and Fairness in AI
Quiz
Module 3: Bias and Fairness in AI
Module 3: Bias and Fairness in AI
3.1 Module Introduction: Transparency and Explainable AI
3.2 Topic 3.1 Importance of Transparent AI Systems
3.2.1 3.1.1 Building Trust
3.3: 3.1.2 Facilitating Accountability
3.4: 3.1.3 Promoting Ethical Standards
3.5: 3.1.4 Enhancing User Experience
3.6: Topic 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
3.6.1: 3.2.1 Simplified Visualizations
3.7: 3.2.2 Use Case Examples
3.8: 3.2.3 Layered Explanations
3.9: 3.2.4 Interactive Demonstrations
3.10: 3.2.5 Tailored Communication
3.11: Topic 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
3.11.1 3.3.1 AI Ethics Simulator
3.12: 3.3.2 Fairness in Machine Learning
3.13: 3.3.3 Privacy-Preserving AI Models
3.14: 3.3.4 AI for Social Good
3.15: 3.3.5 Explainable AI
3.16 Summary: Transparency and Explainable AI
Quiz
Module 4: Privacy and Security Issues in AI
Module 4: Privacy and Security Issues in AI
4.1 Module Introduction: Privacy and Security Issues in AI
4.2: Topic 4.1 Examination of Privacy Concerns Related To AI
4.2.1: 4.1.1 Data Collection and Consent
4.3 4.1.2 Surveillance and Monitoring
4.4 4.1.3 Data Security and Breaches
4.5: 4.1.4 Algorithmic Transparency and Accountability
4.6: Topic 4.2 Strategies for Ensuring the Security of AI Systems and Data
4.7 4.2.1 Comprehensive Security Measures
4.8 4.2.3 Advanced Threat Detection and Response
4.9 4.2.4 Ethical AI Design and Development
4.10 4.2.5 Continuous Education and Training
4.11: Summary: Privacy and Security Issues in AI
Quiz
Module 5: Accountability and Responsibility
Module 5: Accountability and Responsibility
5.1: Module Introduction: Accountability and Responsibility
5.2: Topic 5.1 Concepts of Accountability in AI Development and Deployment
5.2.1: 5.1.1 Transparency
5.3: 5.1.2 Compliance with Legal and Ethical Standards
5.4: 5.1.3 Auditability and Reporting
5.5: Topic 5.2 Responsibilities of AI Practitioners and Organizations
5.5.1: 5.2.1 Ethical AI Development
5.6: 5.2.2 Data Privacy and Protection
5.7: 5.2.3 Transparency and Explainability And Continuous Learning and Improvement
5.8: 5.2.5 Stakeholder Engagement and Communication
5.9: Summary: Accountability and Responsibility
Quiz
Module 6: Legal and Regulatory Issues
Module 6: Legal and Regulatory Issues
6.1 Module Introduction: Legal and Regulatory Issues
6.2 Topic 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
6.3 6.1.1 European Union (EU) > Navigating the EU's Approach to AI
6.4 6.1.2 United States > Introduction to AI Regulation in the United States
6.5 6.1.3 United Kingdom > Relevant Laws and Regulations Pertaining to AI in the United Kingdom
6.6 6.1.4 China > Exploring China's AI Leadership
6.7 Topic 6.2 Understanding the Global Regulatory Issues for AI Technologies
6.7.1 6.2.1 Data Privacy and Security
6.8 6.2.2 Ethical AI Development and Use And Intellectual Property (IP) and AI-generated Content
6.9 6.2.4 Liability and Accountability And AI in Surveillance and Security
6.10 6.2.6 Autonomous Vehicles and Robotics - Unraveling AI's Impact on Society And AI in Employment and the Workplace
6.11 6.2.8 International Cooperation and Standards - Global AI Insights And Consumer Protection
6.12 6.2.10 AI in Healthcare & Warfare
6.13 Topic 6.3 Case Studies: GDPR Compliance in AI Systems
6.14 Topic 6.4 Legal Compliance of AI Tools
6.15 6.4.1 IBM Watson OpenScale
6.16 6.4.2 Google AI Platform's What-If Tool
6.17 6.4.3 Salesforce Einstein
6.18 6.4.4 PwC’s Responsible AI Toolkit
6.19 6.4.5 FICO Analytics Workbench
6.20 Summary: Legal and Regulatory Issues
Quiz
Module 7: Ethical Decision-Making Frameworks
Module 7: Ethical Decision-Making Frameworks
7.1 Module Introduction: Ethical Decision-Making Frameworks
7.2 Topic 7.1 Introduction to Frameworks for Making Ethical Decisions In AI
7.3 7.1.2 Asilomar AI Principles
7.4 7.1.3 EU Guidelines for Trustworthy AI
7.5 7.1.4 Google’s AI Principles
7.6 Topic 7.2 Case Studies and Tenders of Moral Decision-Making
7.7 7.2.2 Microsoft's AI for Accessibility
7.8 7.2.3 DeepMind's AI for Energy
7.9 7.2.4 Autonomous Vehicles (Waymo, Tesla)
7.10 7.2.5 Facial Recognition (IBM, Amazon)
7.11 7.2.6 Google's Project Maven Withdrawal
7.12 Topic 7.3 Use of Simulation Platforms in Ethical Decision-Making
7.13 7.3.2 Moral Machine by MIT
7.14 7.3.3 NetLogo
7.15 7.3.4 Shadow Health
7.16 7.3.5 The Ethics Game
7.17 Summary: Ethical Decision-Making Frameworks
Quiz
Module 8: AI Governance & Best Practices
Module 8: AI Governance & Best Practices
8.1 Module Introduction: AI Governance & Best Practices
8.2 Topic 8.1 8.1 Principles and Functions of international AI Governance
8.3 8.1.1 Principles of International AI Governance
8.4 8.1.2 Functions of International AI Governance
8.5 Topic 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
8.6 8.2.1 Executive Commitment
8.7 8.2.2 Dedicated Ethics Teams
8.8 8.2.3 Ethics Framework
8.9 8.2.4 Ethics by Design
8.10 8.2.5 Regular Training
8.11 8.2.6 Transparency and Explainability
8.12 Innovation Through Diversity and Feedback Loops and Reflective Practice
8.13 8.2.8 Data Governance
8.14 Topic 8.3 Case Studies on AI Governance
8.15 8.3.2 EU's General Data Protection Regulation (GDPR)
8.16 8.3.3 Facial Recognition Bans (Various Cities)
8.17 8.3.4 AI Ethics Board Disbandment (Facebook, 2019)
8.18 8.3.5 Singapore's Model AI Governance Framework (2019)
8.19 Summary: AI Governance & Best Practices
Quiz
Module 9: Global AI Ethics Standards
Module 9: Global AI Ethics Standards
9.1 Module Introduction: Global AI Ethics Standards
9.2 Topic 9.1 Explore Standards: IEEE's Ethically Aligned Design
9.3 Topic 9.2 Comparative Case Studies on Standard Implementations
9.4 Topic 9.3 Tools for Evaluating AI Systems Against Global Standards
9.5 9.3.1 AI Fairness 360 (AIF360) And Model Cards
9.6 9.3.3 TensorFlow Privacy And OpenAI Gym
9.7 9.3.5 ISO/IEC JTC 1/SC 42 And Partnership on AI
9.8 9.3.7 Robustness Gym And EU AI Act & Ethics Guidelines
9.9 Summary: Global AI Ethics Standards
Quiz
AICT Discussion Forum
Resources
AI+ Ethics Blueprint
AI+ Ethics Detailed Curriculum
AI+ Ethics Tools
AI+ Ethics - Resources Video and Link
Feedback Survey Form
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System Compatibility test
System Compatibility Test
AI CERTs Exam Guidelines
AI+ Ethics Examination
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AI+ Ethics™ 2.0