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Computational Transcendence: Responsibility and agency.

Jayati Deshmukh1, Srinath Srinivasa1

  • 1International Institute of Information Technology, Bangalore, India.

Frontiers in Robotics and AI
|October 13, 2022
PubMed
Summary

Autonomous agents can act responsibly using computational transcendence (CT), a model focusing on an elastic sense of self. This AI approach prioritizes collective welfare over individual gain in complex scenarios.

Keywords:
AI ethicsagencyautonomyidentitymulti-agent systemsresponsible ai

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Area of Science:

  • Artificial Intelligence
  • Game Theory
  • Computational Ethics

Background:

  • Responsible behavior in autonomous agents is crucial for multi-agent systems.
  • Existing models often rely on external constraints or reinforcements.
  • The concept of a "sense of self" is explored as an intrinsic driver for responsible action.

Purpose of the Study:

  • To introduce and evaluate Computational Transcendence (CT) as a novel framework for achieving responsible behavior in autonomous agents.
  • To demonstrate CT's ability to foster collective welfare over individual benefit in non-cooperative games.
  • To explore the adaptability of CT in diverse multi-agent scenarios, including interactions with rational adversaries.

Main Methods:

  • Development of a generic multi-agent framework to simulate dilemmas of responsible agency.
  • Implementation and simulation of CT, where agents curate an "elastic identity" based on rational considerations.
  • Comparative analysis of CT against reciprocity as a strategy for responsible autonomy.

Main Results:

  • Agents employing CT demonstrated a propensity for choices favoring collective welfare.
  • CT proved versatile in adapting strategies based on interactions with other agents and rational maximizers.
  • CT outperformed reciprocity in promoting responsible autonomy.

Conclusions:

  • Computational Transcendence (CT) offers a viable framework for developing autonomous agents with intrinsic responsible behavior.
  • CT's core model has potential applications in supply chains, traffic management, and autonomous vehicles.
  • This research motivates further exploration into the computational modeling of the "sense of self" for responsible AI.