DSU - Responsible AI: Forging a Future of Ethical Innovation | Amazon Web Services

Опубликовано 1 октября 2024, 18:33

Khendr’a Reid, Principal Data and GenAI Strategy Specialist at AWS, meets with Diya Wynn, Responsible AI Lead at AWS, to dive into the world of Responsible AI with a comprehensive guide to ethical innovation in the age of artificial intelligence. This video explores the crucial aspects of implementing AI responsibly, with a focus on generative AI and its unique challenges.

Chapters:
0:00 Introduction
2:23 What is Responsible AI?
5:16 Responsible AI in Generative AI vs. Traditional AI/ML
8:28 Challenges in Implementing Responsible AI
11:14 Resources for Learning More About Responsible AI
13:23 Closing Thoughts

Discover how organizations can create a culture of responsibility around AI, ensuring everyone understands their role in addressing risks and preventing unintended consequences. We'll delve into the organizational structures needed to support ethical AI practices and explore the new set of risks that come with generative AI, including fairness, truthfulness, and intellectual property concerns.

Learn about:
• The expanded approaches needed for responsible AI in the era of generative models
• Balancing innovation with responsible implementation
• Practical steps for learning more about responsible AI practices

Whether you're an AI practitioner, business leader, or simply interested in the future of technology, this video provides valuable insights into forging a more ethical and responsible AI-driven future.

Learn more:

* Leading Responsible AI in Organizations: go.aws/3TS9DTd

* AWS Responsible AI: go.aws/3TP0D0Y

* Amazon Science Responsible AI: go.aws/3TToU6d

* Machine Learning University Responsible AI: go.aws/4eGlegJ

Learn more at: go.aws/4ehIzV2

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