AI and Ethics Handbook '26
内容
目次
Foundational and Critical Ethical Concerns.- 1 Fairness and Bias -- Racial and Gender Bias.- 2 Privacy and Date Protection -- Digital systems, data privacy.- 3 Misinformation and Disinformation.- 4 Transparency.- 5 Accountability.- 6 Safety -- Safe Systems -- Safer Technology and Systems.- 7 Cybersecurity.- 8 Trustworthy AI.- 9 Explainable AI.- 10 Human Oversight and Human-centered AI.- 11 Generative AI Use and Misuse.- 12 Disabilities -- Accessibility.- 13 AI and Workfore -- Future of Work.- 14 Education and Training.- 15 Data Science -- Machine Learning and Deep Learning.- 16 AI and Data Governance.- 17 Provenance -- Data Quality.- 18 Algorithmic Systems and Decision Systems.- 19 AI for Social Good.- 20 Cultural and Ethical Values in AI.- Applications, Governance, and Societal Impact.- 1 Racial and Gender Bias.- 2 Compliance and Regulation.- 3 Election Security.- 4 Health and Medicine.- 5 Society -- Social Impact Social Media.- 6 Technology Impact on Youth and Children.- 7 Automation Technology -- Automated vehicles, weapons, robotics.- 8 Sustainability -- Environment -- Climate -- Environmental Impacts of AI.- 9 State and Local Govenment.- 10 Technology Impact on Youth and Children.- Specialized Topics, Emerging Areas.- 1 Digital Twins.- 2 Agricultural Economics & Policy.- 3 Manufacturing and Industry.- 4 Entertainment Industry.- 5 General Intelligence.- 6 Quantum Computing.- 7 Internet of Things.- 8 Religion and Theology.- 9 Law Practice and Legal Technology.- 10 Business and Finance -- Human Resources -- Marketing.- 11 Intellectual Property.
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