This course is part of Level 300 of the 4-Level Responsible AI Literacy Model. To access this course and others in the model, join a Skills4Good AI membership designed to build Responsible AI fluency at every level.
Generative AI Ethics & Risks Fundamentals
Navigate the complex ethical terrain of generative AI and master risk management strategies tailored to its unique challenges, such as deepfakes and automated content creation. This course equips you to ensure that the deployment of generative technologies adheres to ethical standards and promotes a positive impact in our increasingly digital society.
Unpack the ethical guidelines specific to generative AI, including the challenges of authenticity, copyright, and consent.
Learn to pinpoint and address the unique risks posed by generative AI, such as misinformation and privacy breaches.
Examine case studies highlighting the ethical dilemmas and solutions in generative AI applications, from art and media to synthetic data.
Lesson 1: Intro to Ethics of Generative AI
Lesson 2: Balancing Human Rights & AI Risks in Generative AI
Lesson 3: Privacy in Generative AI
Lesson 4: Security Principle in Generative AI
Lesson 5: Fairness and Non-Discrimination in Generative AI
Lesson 6: Transparency & Explainability in Generative AI
Lesson 7: Responsibility & Accountability Principles in Generative AI
Lesson 8: Intellectual Property & Copyright Principles in Generative AI
Lesson 9: Sustainability in Generative AI
Lesson 10: Human Oversight & Determination in Generative AI
Lesson 11: Responsible AI Literacy
Lesson 12: Multi-Stakeholder & Adaptive Governance in AI
Gain the knowledge to ethically steer generative AI projects, ensuring they enhance creativity without compromising ethical standards.
Equip yourself with strategies to mitigate the distinct risks of generative AI, safeguarding against harm and ensuring responsible use.
Position yourself as a leader in the ethical implementation of generative AI, fostering innovation that respects human rights and societal norms.
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