Questão FC171082
Ahead of the upcoming AI Safety Summit in Seoul, leading AI scientists from institutions like the University of Oxford are urging world leaders to act on AI risks. Despite the pled
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CEBRASPE (CESPE) · 2025
The authors, including renowned AI figures such as Geoffrey Hinton and Dawn Song, outline critical priorities for global AI policy. They recommend establishing well- funded, expert oversight institutions and highlight the disproportionate funding gap. In the United States, AI Safety Institute’s budget is just $ 10 million, in stark contrast to the Food and Drug Administration’s $ 6.7 billion. They also advocate for mandatory, rigorous risk assessments and call for enforceable standards on AI safety, urging AI companies to adopt “safety cases” similar to those in other high-stakes fields like aviation. These safety cases would place the responsibility on developers to prove their technologies pose no harm.
Additionally, the paper proposes “mitigation standards” that automatically scale according to AI capability milestones. This approach would ensure rapid responses if AI systems advance quickly, with policies automatically tightening or relaxing based on the technology’s pace. As global leaders prepare for the summit, the experts emphasize that addressing AI risks now is essential for protecting society from potential harm. This marks the first consensus from such a broad coalition of international AI experts, underscoring the urgency for concrete policy commitments rather than vague proposals.
Internet: <ox.ac.uk> (adapted).
The proposed ‘mitigation standards’ (first sentence of the last paragraph) would allow policies to be adjusted based on the current needs and budgets of AI companies.
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Comentário: A afirmação está errada porque os ‘mitigation standards’ propostos não se referem a ajustes baseados nas necessidades e orçamentos das empresas de IA, mas sim a um sistema que se adapta automaticamente com base nos marcos de capacidade da tecnologia de IA. Isso significa que as políticas seriam ajustadas conforme a evolução e os riscos potenciais da IA, não de acordo com as condições financeiras ou operacionais das empresas desenvolvedoras. O foco está em garantir a segurança e a responsabilidade no desenvolvimento da IA, independentemente das circunstâncias econômicas das empresas.
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