23 - Influence on Policy, Philosophy, and Public Debate.

23 - Influence on Policy, Philosophy, and Public Debate.  Concerns over human extinction risks have prompted discussions in international policy forums, particularly regarding artificial intelligence (AI) safety and nuclear weapons. In May 2023, a statement signed by hundreds of AI experts, including leaders from OpenAI and Google DeepMind, equated mitigating AI extinction risks with addressing pandemics and nuclear war as global priorities, influencing subsequent regulatory efforts such as the U.S. Executive Order on AI issued in October 2023, which mandated safety testing for advanced models to curb catastrophic potential. Similarly, nuclear non-proliferation treaties, like the Nuclear Non-Proliferation Treaty (NPT) reviewed in 2022, frame nuclear arsenals as existential threats due to their capacity for global devastation, with U.S. policy under President Biden reaffirming commitments to reduce such risks amid modernization programs. However, critics argue that policy responses often prioritize speculative technological threats over empirical evidence of near-term probabilities, with global surveys indicating varied governmental focus on existential risks beyond immediate geopolitical tensions.  In philosophy, existential risks have elevated longtermism, a view positing that safeguarding humanity's long-term potential outweighs short-term moral priorities, as articulated by philosopher William MacAskill, who emphasizes reducing extinction probabilities to preserve trillions of future lives. This framework underpins effective altruism's allocation of over $500 million to AI existential risk research by 2023, funding organizations like the Centre for the Study of Existential Risk to model and mitigate threats from unaligned superintelligence. Detractors, including Émile Torres, contend that longtermism risks ethical tunnel vision, potentially justifying neglect of present inequities in favor of improbable future catastrophes, and exhibits biases toward technological optimism unsupported by historical risk overpredictions. Empirical assessments, such as Toby Ord's 1-in-6 estimate for existential catastrophe this century, inform these debates but face scrutiny for relying on subjective probabilities rather than falsifiable data.  Public debate on human extinction has intensified since the 2023 AI extinction warning, with 59% of U.S. adults in a 2024 survey supporting prioritization of AI extinction mitigation, reflecting heightened awareness driven by expert statements and media coverage. Movements like Extinction Rebellion invoke extinction rhetoric to advocate environmental policies, though empirical analyses question their causal links to human survival, noting past environmental alarmism's track record of overstated timelines. Psychological studies reveal public underestimation of extinction's moral weight, with experiments showing most view it as profoundly bad but prioritize immediate harms, complicating discourse amid institutional biases favoring dramatic narratives over probabilistic realism. Debates persist on source credibility, as academic and media outlets often amplify low-probability risks like AI misalignment while downplaying human factors in historical near-misses, such as Cold War nuclear crises.  Become a supporter of this podcast: https://www.spreaker.com/podcast/extinction-of-the-human-species--7081249/support.This episode includes AI-generated content.