Emergence: Active Querying Mitigates Bias in Asymmetric Embodied AI

This research explores a crucial challenge in embodied AI: information bias in agents with unequal access to data. The active querying approach suggests a promising strategy to improve agent robustness and fairness by actively mitigating privileged information advantages.

• •Addresses the problem of information bias in embodied AI systems.
• •Proposes active querying as a solution to mitigate bias.
• •Focuses on agents with asymmetric access to information.