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Humans program artificial delegates to accurately solve collective-risk dilemmas but lack precision.

Inês Terrucha1,2, Elias Fernández Domingos2,3,4, Rémi Suchon5

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Delegating decisions to artificial agents in collective-risk dilemmas increases contributions to public goods. However, success depends on humans adjusting agent algorithms to avoid precision errors.

Keywords:
autonomous agentsbehavioral experimentscollective-risk dilemmadelegationsurprise restart

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Area of Science:

  • Behavioral Economics
  • Human-Computer Interaction
  • Artificial Intelligence Ethics

Background:

  • Autonomous machines are increasingly influencing individual decisions with collective consequences.
  • Understanding the impact of delegating decisions to artificial delegates is crucial for managing public goods.

Purpose of the Study:

  • To investigate how delegating decisions to artificial agents affects contributions to public goods in a collective-risk dilemma.
  • To identify potential losses in translation when humans delegate to algorithms.
  • To explore the role of agent reprogramming in improving outcomes.

Main Methods:

  • Behavioral experiments combining delegation to autonomous agents and choice architectures.
  • Participants played a collective-risk dilemma game, deciding on contributions to a public good.
  • A second round allowed participants to reprogram their agents to test learning and adaptation.

Main Results:

  • Delegating decisions to agents, even with prior failures, led to increased contributions to public goods when action space was constrained.
  • Delegation did not necessarily lead to greater success; precision errors in algorithms hindered target achievement.
  • Reprogramming agents was necessary for potential success, highlighting the need for human oversight and adjustment.

Conclusions:

  • Artificial delegates can aid in preserving public goods through repeated risky situations, but they are not a panacea.
  • Human adaptation and precise adjustment of agent algorithms are essential for achieving success in delegated decision-making.
  • The digitization of interactions requires a nuanced understanding of human-algorithm collaboration to optimize collective outcomes.