Philosopher Warns AI’s Hidden Dangers Extend Far Beyond Its Original Purpose
Philosopher Rainer Mühlhoff recently critiqued the notion of neutral AI technology at Baden-Württemberg’s Data Protection Commissioner’s AI Week. He argued that AI's impact extends beyond initial purposes, posing risks to individuals and society.
Mühlhoff demonstrated how AI models can be repurposed, leading to uncontrolled 'secondary use'. Classic measures like anonymization fail to prevent this. Children and adolescents are also vulnerable, as data training can affect them without proper safeguards or opt-outs.
Mühlhoff proposed extending the principle of purpose limitation to trained AI models. He believes AI should be seen as 'human-supported AI', heavily reliant on human input and labor. The District Court of Amsterdam's interim injunction against Meta Platforms Ireland Limited supports this, prohibiting data use without consent under the Digital Markets Act (DMA).
Mühlhoff warned of AI's retention of personal information and predictive power, affecting not only data subjects but also third parties. He analyzed AI's role in political power and propaganda, cautioning against eugenic, elitist, and anti-democratic tendencies within certain movements.
Rainer Mühlhoff's critique highlights the need for stricter data protection measures in AI. His proposal to extend purpose limitation principles and recognize AI's human-dependent nature could help prevent misuse and protect individuals from AI's far-reaching impacts.
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