Opening remarks: Responsible AI
- Hanna Wallach | Microsoft Research NYC
- Microsoft Research Summit 2021 | Responsible AI
As we’ve seen in countless media articles, AI systems can behave unfairly or unreliably. They can generate undesirable or harmful content, and they can reproduce or exacerbate existing social inequities. This track explores the complex societal implications of AI, machine learning, and natural language processing. Learn how Microsoft researchers are working on practices, processes, and technologies to advance responsible AI, often in collaboration with researchers and practitioners around the world.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
-
-
Hanna Wallach
Partner Research Manager
-
-
Responsible AI
-
Opening remarks: Responsible AI
- Hanna Wallach
-
Demo: RAI Toolbox: An open-source framework for building responsible AI
- Besmira Nushi,
- Mehrnoosh Sameki,
- Amit Sharma
-
Tutorial: Best practices for prioritizing fairness in AI systems
- Amit Deshpande,
- Amit Sharma
-
-
Panel discussion: Content moderation beyond the ban: Reducing borderline, toxic, misleading, and low-quality content
- Tarleton Gillespie,
- Zoe Darmé,
- Ryan Calo
-
Lightning talks: Advances in fairness in AI: From research to practice
- Amit Sharma,
- Michael Amoako,
- Kristen Laird
-
Lightning talks: Advances in fairness in AI: New directions
- Amit Sharma,
- Kinjal Basu,
- Michael Madaio
-
Panel: Maximizing benefits and minimizing harms with language technologies
- Hal Daumé III,
- Steven Bird,
- Su Lin Blodgett
-
Tutorial: Create human-centered AI with the Human-AI eXperience (HAX) Toolkit
- Saleema Amershi,
- Mihaela Vorvoreanu
-
Panel: The future of human-AI collaboration
- Aaron Halfaker,
- Charles Isbell,
- Jaime Teevan
-
Closing remarks: Responsible AI
- Ece Kamar
