#human-judgment

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#ai-in-finance #ai-fluency #cognitive-posture #anti-intelligence #ai-adoption #executive-decision-making
Artificial intelligence
fromPsychology Today
10 hours ago

Watching Intelligence Lose Its Friction

AI's fluent outputs replace cognitive effort and weaken human judgment as certainty becomes borrowed, creating an inflection point for whether human judgment maintains its footing in 2025.
Artificial intelligence
fromFast Company
1 week ago

'It made me a little bit kinder': How managers use AI to make decisions

Companies adopt AI as a strategic thinking partner to improve decision-making speed and precision while implementing guardrails to preserve human judgment and manage risks.
UX design
fromFast Company
1 week ago

Dropbox's head designer is an AI optimist

AI functions as a pragmatic force multiplier in Dropbox's design work, amplifying human creativity when integrated with taste, judgment, curiosity, and conviction.
#ai-in-finance
more#ai-in-finance
fromPsychology Today
1 month ago

AI and the New Rhythm of Thought

We collapse uncertainty into a line of meaning. A physician reads symptoms and decides. A parent interprets a child's silence. A writer deletes a hundred sentences to find one that feels true. The key point: Collapse is the work of judgment. It's costly and often can hurt. It means letting go of what could be and accepting the risk of being wrong.
Philosophy
Marketing
fromEntrepreneur
3 months ago

Is AI the Future of PR? | Entrepreneur

AI is a valuable PR assistant for drafting and analysis, but human judgment, cultural awareness, empathy, and ethics must steer public relations.
Artificial intelligence
fromFortune
3 months ago

AI told me hilariously wrong things about Elon Musk's childhood job at a landscaping company-here's why that matters on Labor Day

AI can process data but cannot replace human judgment, common sense, and the dignity of work powering the economy.
Artificial intelligence
fromTey Bannerman
3 months ago

Redefining 'human in the loop'

Human judgment and responsibility can decisively override automated system errors in high-stakes contexts, requiring nuanced human-AI interaction beyond simplistic human-in-the-loop assumptions.
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