Learn Before
Ironies of automation
Ironies of automation
Source: https://doi.org/10.1016/0005-1098(83)90046-8
Published: 1983-11. Retrieved: 2026-11-09T04:06:37.974129+00:00.
This reference identifies evidence used in the AI Scientific Oversight landscape. Its assertions retain the scope and limitations stated by the source; institutional authorship is not independent validation.
0
1
Tags
Scientific Oversight of AI-Assisted Research
1Cademy
Related
AI safety via debate
Weak-to-strong generalization
Automated Alignment Researchers: Using large language models to scale scalable oversight
AI Debate Aids Assessment of Controversial Claims
Confirmation bias: A challenge for scalable oversight
Humans Correct Their Judgments Through Debate, but Weaker AI Models Do Not
AI Safety via Debate is Compromised by Cognitive Biases
How AI agents shape experts’ judgment calls
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
Related
AI safety via debate
Weak-to-strong generalization
Automated Alignment Researchers: Using large language models to scale scalable oversight
AI Debate Aids Assessment of Controversial Claims
Confirmation bias: A challenge for scalable oversight
Humans Correct Their Judgments Through Debate, but Weaker AI Models Do Not
AI Safety via Debate is Compromised by Cognitive Biases
How AI agents shape experts’ judgment calls
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making