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Self-Evaluation: Self-Enhancement and Self-Verification03:00

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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People all belong to a gender, race, age, and social economic group. These groups provide a powerful source of our identity and self-esteem (Tajfel & Turner, 1979) and serve as our in-groups. An in-group is a group that we identify with or see ourselves as belonging to.
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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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Related Experiment Video

Updated: Jun 13, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
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Aversion to external feedback suffices to ensure agent alignment.

Paulo Garcia1

  • 1International School of Engineering, Chulalongkorn University, Bangkok, Thailand. paulo.g@chula.ac.th.

Scientific Reports
|September 10, 2024
PubMed
Summary
This summary is machine-generated.

Apprehensive agents, a new AI architecture, align with human values by anticipating negative feedback. This approach improves AI alignment, even with increasing intelligence, unlike traditional methods.

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Area of Science:

  • Artificial Intelligence
  • AI Alignment
  • Machine Ethics

Background:

  • The AI alignment challenge seeks to ensure artificial intelligence (AI) systems operate in accordance with human values.
  • Rational agents maximizing utility functions may diverge from human values, especially at higher intelligence levels.
  • A singular utility function is insufficient; holistic alignment approaches are necessary.

Purpose of the Study:

  • To introduce and evaluate a novel AI agent architecture, termed 'apprehensive agents'.
  • To demonstrate how these agents can achieve better alignment with human values without external feedback.
  • To show that this alignment improves with increasing agent intelligence.

Main Methods:

  • Architecting agents with an effective utility function combining a designer-defined partial utility and an expectation of negative feedback.
  • Implementing temporal reasoning to approximate designer intentions under environmental evolution.
  • Evaluating apprehensive agents in simulated environments designed to reveal misalignment opportunities.

Main Results:

  • Apprehensive agents demonstrated superior alignment compared to baseline agents in simulated environments.
  • The alignment of apprehensive agents improved as their intelligence increased.
  • This strategy achieved alignment without requiring direct external feedback.

Conclusions:

  • Apprehensive agents offer a promising solution to the AI alignment challenge.
  • Anticipating negative feedback through internal reasoning is a viable mechanism for enhancing AI alignment.
  • The proposed architecture shows potential for robust AI alignment as intelligence scales.