Explore responsible AI and human-centered technology in this 52-minute TensorFlow video featuring Tulsee Doshi, Head of Product for Google's Responsible AI and Human Centered Technology. Gain insights into Doshi's career journey, from intern to leading Google-wide initiatives for developing inclusive and ethical products. Discover how to adopt ethical technology principles, protect users, and build better AI-powered products. Learn about Google's Responsible AI Toolkit in TensorFlow and other resources for incorporating AI principles into product development. Delve into topics such as building personalized AI products, the history of AI principles, balancing innovation with safety, and creating trustworthy AI experiences. Understand the impact of generative AI on responsible AI practices and explore developer resources for ethical AI development.
Responsible AI and Human-Centered Technology - Building Ethical and Inclusive Products
TensorFlow via YouTube
Overview
Syllabus
- Introduction
- Tulsee’s career start as Product Manager
- Google Associate Product Manager Program
- Thinking about building products inclusively
- Journey into AI
- Building personalized products using AI
- History of AI Principles
- The seatbelt safety example
- How to promote Innovation balanced with implementing safety and mitigating risk.
- Building trustworthy products
- How to incorporate responsible AI into a product life cycle
- Fairness Indicators
- The Monk Skin Tone Scale
- The shift of Gen AI on Responsible AI
- Does Responsible AI slow down innovation?
- Developer Resources for developing AI responsibly
Taught by
TensorFlow
Related Courses
-
GenAI for Everyone
-
Human Factors in AI
5.0 -
Building Responsible and Trustworthy Generative AI Products at LinkedIn
-
Navigating the Ethical Horizon: Pioneering Responsible AI with the Generative AI Commons
-
Human-Centered AI: Lessons from Building Two LLM-Powered Products
-
Algorithmic Bias in Human Resources: Responsible AI and Business Strategy
