Recall concise corrections for common AI myths in workplace conversations.
When someone says AI is objective AI is objective because it is not human. A stakeholder wants to accept a ranking or recommendation without bias review. Your line It is not human, but it still reflects data, design, and instructions. Let's check criteria, inputs, and error patterns. Agreeing that no human feelings means no bias. It replaces the objectivity myth with inspectable sources of error. Capability versus competence Which claim is deployment-ready? Use capability to justify a pilot; use competence to justify scale. ELIZA effect What is the practical workplace warning behind the ELIZA effect? People can read understanding into…
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