AI, Morality, and the Myth of Neutrality

The ultimate question in the AI revolution is not just technological, economic, or social—it is moral. As we conclude the series, the discussion turns to whether machines can ever possess morality, how ethical frameworks hold up under pressure, and who bears responsibility when AI makes decisions once reserved for human conscience.

The narrative challenges the illusion of neutrality, showing how bias becomes encoded in the systems we use. Far from being impartial, AI often mirrors the inequities of the past. A striking example comes from 2018, when a major hiring tool was abandoned after it consistently downgraded female candidates—not from intentional prejudice, but because it had learned from biased historical data. This case reveals a paradox: AI does not erase bias, it reproduces it in new forms.

???? Why it matters:
Trusting AI with decisions of moral weight means grappling with the fact that machines cannot feel, and therefore cannot truly “do right.” If neutrality is a myth, the responsibility falls not on machines but on humans to ensure fairness, accountability, and transparency. The stakes are profound: will AI deepen old inequalities, or can we design systems that rise above them?

⏱ Timestamps:
00:00 – Concluding the AI series: technology, economics, society, and governance
00:20 – The core question: Can AI possess morality?
00:40 – Responsibility when machines decide
01:00 – The illusion of neutrality
01:20 – How bias becomes encoded in AI systems
01:40 – The 2018 hiring tool case study
02:00 – The paradox of AI: reproducing, not erasing bias

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