Gagan Bansal
@gaganbansal.bsky.social
Senior Researcher at Microsoft Research | Human-AI Interaction | Building AutoGen at Microsoft
We are following Russel and Norvig’s definition, as mentioned in the introduction.
December 4, 2024 at 4:03 AM
We are following Russel and Norvig’s definition, as mentioned in the introduction.
Why does this matter?
Without proper grounding, we risk safety failures, loss of user control, and ineffective collaboration. Trust and transparency in AI systems hinge on addressing these challenges. We supplement each challenge with examples.
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Without proper grounding, we risk safety failures, loss of user control, and ineffective collaboration. Trust and transparency in AI systems hinge on addressing these challenges. We supplement each challenge with examples.
3/
December 3, 2024 at 6:19 PM
Why does this matter?
Without proper grounding, we risk safety failures, loss of user control, and ineffective collaboration. Trust and transparency in AI systems hinge on addressing these challenges. We supplement each challenge with examples.
3/
Without proper grounding, we risk safety failures, loss of user control, and ineffective collaboration. Trust and transparency in AI systems hinge on addressing these challenges. We supplement each challenge with examples.
3/
Some challenges focus on how agents can convey necessary information to help users form accurate mental models (A1-5). Others address enabling users to express their goals, preferences, and constraints to guide agent behavior (U1-3). We also focus on many overarching issues (X1-4).
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December 3, 2024 at 6:19 PM
Some challenges focus on how agents can convey necessary information to help users form accurate mental models (A1-5). Others address enabling users to express their goals, preferences, and constraints to guide agent behavior (U1-3). We also focus on many overarching issues (X1-4).
2/
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☀️New paper!
Generative AI agents are powerful but complex—how do we design them for transparency and human control? 🤖✨
At the heart of this challenge is establishing common ground, a concept from human communication. We identify 12 key challenges in improving common ground between humans & agents.
Generative AI agents are powerful but complex—how do we design them for transparency and human control? 🤖✨
At the heart of this challenge is establishing common ground, a concept from human communication. We identify 12 key challenges in improving common ground between humans & agents.
December 3, 2024 at 6:19 PM
☀️New paper!
Generative AI agents are powerful but complex—how do we design them for transparency and human control? 🤖✨
At the heart of this challenge is establishing common ground, a concept from human communication. We identify 12 key challenges in improving common ground between humans & agents.
Generative AI agents are powerful but complex—how do we design them for transparency and human control? 🤖✨
At the heart of this challenge is establishing common ground, a concept from human communication. We identify 12 key challenges in improving common ground between humans & agents.