AI Governance and Algorithmic Accountability · Semester 1

Scientific Consensus, Expertise, and the Limits of Public Deference

Investigating how scientific discoveries and technological advancements help address real-world problems, such as health or environmental issues.

Key Questions

  1. Evaluate the conditions under which it is epistemically rational for a democratic public to defer to scientific consensus and the conditions under which such deference itself becomes anti-intellectual or politically dangerous.
  2. Analyze how the politicisation of scientific institutions — through funding dependencies, regulatory capture, or ideological commitment — undermines the social authority of expertise without necessarily invalidating the underlying findings.
  3. Construct a framework for how democratic societies should navigate genuine disagreement between mainstream scientific consensus and credentialled minority dissent, without collapsing into either technocracy or science denialism.

MOE Syllabus Outcomes

MOE: Critical Thinking - Middle School
Level: JC 1
Subject: English Language
Unit: AI Governance and Algorithmic Accountability
Period: Semester 1

Suggested Methodologies

Fishbowl Discussion

Inner group debates while the class observes

20–40 min

Learn more about Fishbowl Discussion

Philosophical Chairs

Take a side, argue, and move if persuaded

20–40 min

Learn more about Philosophical Chairs

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