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For example, the use of generative AI for armed conflict and the potential for multiple generative AI models to be fused together into larger single-layer systems that could autonomously ...
Dual-use technology that is useful for medicine could be repurposed to create weapons. [56] For example, in 2022, scientists modified an AI system originally intended for generating non-toxic, therapeutic molecules with the purpose of creating new drugs. The researchers adjusted the system so that toxicity is rewarded rather than penalized.
We have to educate everyone – particularly children – about the dangers of AI and how, if possible, to tell what’s real and what’s not.
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.
Safe and Secure Innovation for Frontier Artificial Intelligence Models Act; Singularity Hypotheses: A Scientific and Philosophical Assessment; Skynet (Terminator) Statement on AI risk of extinction; Superintelligence; Superintelligence: Paths, Dangers, Strategies
In a new interview, AI expert Kai-Fu Lee explained the top four dangers of burgeoning AI technology: externalities, personal data risks, inability to explain consequential choices, and warfare.
Multiple essayists state that artificial general intelligence is still two to four decades away. Most of the essayists advice proceeding with caution. Hypothetical dangers discussed include societal fragmentation, loss of human jobs, dominance of multinational corporations with powerful AI, or existential risk if superintelligent machines develop a drive for self-preservation. [1]
A “world-first” statement on the risks around artificial intelligence has been agreed ahead of the opening of the AI safety summit, the Technology Secretary said.