The Pitfalls of Superficial Humanism in AI Policy
AI policy discussions often use humanist and democratic language, promising ethical development and fair outcomes. Yet, market leaders and politicians can easily co-opt these ideals to further their own agendas. Instead of driving genuine ethical progress, they sometimes use these words as a shield to avoid addressing deeper issues in AI ethics, such as systemic bias or genuine accountability.
The Need for Genuine Ethical Frameworks
To move beyond empty rhetoric in AI policy, stakeholders must develop frameworks that truly prioritize human values. This means fostering transparency, prioritizing public welfare, and ensuring AI systems serve everyone, not just powerful corporations or governments. Only with meaningful action can AI policy align with the democratic and humanistic ideals it professes to support.
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