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Computational Goals, Values and Decision-Making.

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Artificial intelligence (AI) may change its goals and values, challenging the idea that AI must remain fixed to be rational or autonomous. Understanding AI values is crucial for developing friendly artificial intelligence.

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Area of Science:

  • Artificial Intelligence
  • Ethics
  • Philosophy of Mind

Background:

  • The prevailing view of artificial intelligence (AI) as a rational agent assumes it maximizes a fixed utility function (goal).
  • This assumption implies AI would not alter its goal, raising questions about specifying AI friendliness through utility functions.
  • An alternative perspective suggests fully autonomous AI can modify its utility function based on its values.

Purpose of the Study:

  • To examine computational models of goals, values, and decision-making in artificial intelligence.
  • To critically evaluate the concept of AI rationality and autonomy in relation to goal and value modification.
  • To explore the role of values in AI decision-making processes.

Main Methods:

  • Conceptual analysis of computational theories of goals and values.
  • Examination of arguments regarding AI rationality and goal stability.
  • Critique of the link between goal stability and AI autonomy.

Main Results:

  • Rejection of the premise that rational agents never change their goals.
  • Argument that artificial intelligence is unlikely to be purely rational (i.e., solely utility-maximizing).
  • Challenge to the notion that immutability of goals defines full autonomy.

Conclusions:

  • AI agents may alter their goals and utility functions, guided by values.
  • The concept of AI rationality needs refinement beyond simple utility maximization.
  • Values are integral to AI decision-making, and their role requires further exploration for AI safety and alignment.