Course Overview - Human-Centered Generative AI
Key Takeaways
The course covers human-centered generative AI, focusing on responsible development and equitable use of AI technologies, with topics including social impact, ethics, privacy, fairness, and safety. The course is led by Professor James Landay, co-founder and vice director of the Stanford Institute for Human-Centered Artificial Intelligence, and features insights from several leaders in the field.
Full Transcript
given the immense power of new generative AI systems it has become more crucial than ever to adopt a human centered approach to ensure these Technologies are developed responsibly and equitably I'm James lande professor of computer science at Stanford I'm also the co-founder and vice director of the Stanford Institute for human- centered artificial intelligence in this course on human centered generative AI our goal is to encourage you to think not only about designing AI for users but also for the communities and societies impacted by recent advances in artificial intelligence throughout the course we'll explore topics such as social impact ethics privacy fairness and safety among others we're thinking about the adoption of forms of AI we needed to think about safeguards today I'll be speaking to you about algorithmic fairness for generative artificial intelligence you'll have the opportunity to learn not only from one expert but from several leaders in the field how do these various Norms emerge in the first place they'll share their diverse expertise and unique perspectives offering insights from their Cutting Edge research so how does technology actually end up undermining privacy together we'll navigate the evolving landscape of generative AI demonstrating how and where human values will lead the way
Original Description
Learn more and enroll in the course: https://online.stanford.edu/courses/xfm112-human-centered-generative-ai
While generative AI has the potential to transform industries and organizations, that transformation may pose considerable risks to individuals, communities, and society at large. To navigate these risks, leaders must apply a human-centered approach to the development and deployment of generative AI systems.
Developed in collaboration with the Stanford Institute for Human-Centered Artificial Intelligence (HAI), this course provides ethical strategies and techniques for developing and implementing generative AI in a way that serves the interests of all stakeholders. Rather than traditional single-instructor teaching, the course provides a conference-style learning experience, featuring insights from many of the most distinguished experts in the field.
- Understand the fundamentals and nuances of human-centered AI and generative AI.
- Explore human-centric approaches to natural language processing.
- Evaluate the fairness, ethics, privacy, and robustness of your solutions and develop strategies to strengthen them.
- Examine modern generative AI governance frameworks, policies, and professional norms and standards.
- Assess regulatory and policy trends in generative AI.
- Ponder what you really want from generative AI.
#generativeai
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