Insight by Psychology

We downplay luck's role in our success because fortunate events are external and unearned, so they don't register as things we did and therefore get omitted from our explanations for outcomes.

Explainable AI often needs explanations that convince people because humans build trust via plausible, comprehensible narratives, so a convincing story can be more effective than a perfectly literal account of internal processes.

Attributing positive outcomes to your own traits reduces willingness to share rewards because internal explanations create feelings of entitlement that decrease perceived obligation to redistribute gains.

People underestimate the complexity of tasks like driving because they judge difficulty from their fluent personal experience and ignore rare edge cases and contextual variability that make such tasks hard for AI.

People overestimate their own contribution to group tasks because they vividly experience and remember their actions while not fully observing or recalling others', which leads them to overweight personal effort in judgments of who did what.

Because modern large language models can generate sophisticated deceptive messages on demand, defenses should prioritize detection tools and models that can flag and rate manipulative content to protect users.

Successful people often believe the world is meritocratic because survivor bias leads them to observe only those who worked hard and succeeded, causing them to generalize that effort reliably produces success while ignoring failed but hardworking peers.

Cults maintain control by monopolizing information and isolating members because degrading outside sources and discouraging contact leaves people exposed only to the group's sanctioned messages, which reinforces the in-group belief system.