This week at the 81st UN General Assembly in New York, global leaders expressed concerns about artificial intelligence (AI), identifying it as a significant threat alongside climate change and inequality. UN Secretary-General António Guterres emphasized the need for an international framework to regulate AI, arguing that only a coordinated global approach could ensure safety.
1. Global Concern Over AI:
• The UN convened to address AI amidst ongoing global conflicts and climate issues.
• Guterres warned that existing national regulations are insufficient and called for an international agreement.
2. Knowledge Problem:
• An independent scientific panel warned that expertise in AI is too concentrated and that central planning cannot effectively manage the technology.
• Economists Ludwig von Mises and Friedrich Hayek highlighted that knowledge in economies is decentralized and cannot be fully captured by committees.
3. Misunderstanding AI:
• AI should be seen as a tool for entrepreneurs rather than a malevolent force. Its implications depend on how it’s utilized by authorities.
• Regulation may not address the actual challenges posed by AI but instead could enforce central planning.
4. Historical Lessons:
• The government's capacity to surveil citizens creates risks reminiscent of past misuses of authority, as seen in the aftermath of Edward Snowden's disclosures regarding national security.
5. Potential for Government Overreach:
• As governments seek to control AI, concerns arise about the infrastructure for increased surveillance and authority over citizens.
6. Global Disparities in AI Access:
• Many governments, particularly in Africa and South America, lack the infrastructure to contribute significantly to AI development.
• Calls for “AI sovereignty” from these nations highlight a disparity between aspirations for control and actual technological capabilities.
7. Rhetoric and Emergency Response:
• The language used by governments about AI—like “existential threat” and “race to the bottom”—suggests a push for urgent regulatory measures that may overlook critical review processes.
8. Market vs. Regulation:
• The argument emphasizes that innovation and risk management should come from the market rather than bureaucratic assemblies, suggesting a preference for entrepreneurial experimentation over centralized regulation.
The UN's approach to managing AI might replicate the failures of past governmental oversight instead of offering effective solutions. History suggests that central control often leads to overreach, while market-driven innovation allows for more adaptive and responsible advancements in technology. Governments have historically been less adept at protecting individual liberties than private entrepreneurs, raising questions about the effectiveness of proposed international AI regulations.
https://mises.org/mises-wire/un-wants-govern-ai-it-can-barely-govern-itself
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