Preparing for the Intelligence Explosion

• URL: http://arxiv.org/abs/2506.14863v1
• Date: Tue, 17 Jun 2025 17:37:39 GMT
• Title: Preparing for the Intelligence Explosion
• Authors: William MacAskill, Fin Moorhouse,
• Abstract summary: We call these developments grand challenges.<n>New weapons of mass destruction, AI-enabled autocracies, races to grab offworld resources, and digital beings worthy of moral consideration.<n>We argue that these challenges cannot always be delegated to future AI systems, and suggest things we can do today to meaningfully improve our prospects.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: AI that can accelerate research could drive a century of technological progress over just a few years. During such a period, new technological or political developments will raise consequential and hard-to-reverse decisions, in rapid succession. We call these developments grand challenges. These challenges include new weapons of mass destruction, AI-enabled autocracies, races to grab offworld resources, and digital beings worthy of moral consideration, as well as opportunities to dramatically improve quality of life and collective decision-making. We argue that these challenges cannot always be delegated to future AI systems, and suggest things we can do today to meaningfully improve our prospects. AGI preparedness is therefore not just about ensuring that advanced AI systems are aligned: we should be preparing, now, for the disorienting range of developments an intelligence explosion would bring.

Related papers

• Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences [50.9036832382286]
  We review the increased erosion of trust in AI research outputs, driven by the issues of poor reusability.<n>We discuss the fragmented components of the AI ecosystem and lack of guiding pathways to best support Open and Sustainable AI.<n>Our work connects researchers with relevant AI resources, facilitating the implementation of sustainable, reusable and transparent AI.
  arXiv  Detail & Related papers  (2025-05-22T12:52:34Z)
• Demystifying AI Agents: The Final Generation of Intelligence [0.0]
  We argue that these agents represent a culminating phase in AI development, potentially constituting the "final generation" of intelligence.<n>We explore the capabilities and underlying technologies of these agents, grounded in practical examples.<n>The paper concludes by underscoring the critical need for wisdom and foresight in navigating the opportunities and challenges presented by this powerful new era of intelligence.
  arXiv  Detail & Related papers  (2025-05-15T03:35:12Z)
• Superintelligence Strategy: Expert Version [64.7113737051525]
  Destabilizing AI developments could raise the odds of great-power conflict.<n>Superintelligence -- AI vastly better than humans at nearly all cognitive tasks -- is now anticipated by AI researchers.<n>We introduce the concept of Mutual Assured AI Malfunction.
  arXiv  Detail & Related papers  (2025-03-07T17:53:24Z)
• AI in Action: Accelerating Progress Towards the Sustainable Development Goals [4.09375125119842]
  We draw on Google's internal and collaborative research, technical work, and social impact initiatives to show AI's potential to accelerate action on the UN's Sustainable Development Goals. The paper highlights AI capabilities (including computer vision, generative AI, natural language processing, and multimodal AI) and showcases how AI is altering how we approach problem-solving across all 17 SDGs. We then offer insights on AI development and deployment to drive bold and responsible innovation, enhance impact, close the accessibility gap, and ensure that everyone, everywhere, can benefit from AI.
  arXiv  Detail & Related papers  (2024-07-02T23:25:27Z)
• Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making [0.0]
  We are developing and implementing a hierarchical reinforcement learning framework that includes a multi-model approach and dimension-invariant observation abstractions. By advancing AI-enabled systems, we will be able to enhance all-domain awareness, improve the speed and quality of our decision cycles, offer recommendations for novel courses of action, and more rapidly counter our adversary's actions.
  arXiv  Detail & Related papers  (2024-02-08T21:51:07Z)
• Deliberative Technology for Alignment [0.0]
  Deliberative technology is already being used across these institutions to help align governance with human will. The race to superhuman AGI is already underway, and the AI systems it gives rise to may become the most powerful systems of the future. Right now, there is a window of opportunity to use deliberative technology to align the impact of powerful AI with the will of humanity.
  arXiv  Detail & Related papers  (2023-12-06T20:34:32Z)
• Managing extreme AI risks amid rapid progress [171.05448842016125]
  We describe risks that include large-scale social harms, malicious uses, and irreversible loss of human control over autonomous AI systems. There is a lack of consensus about how exactly such risks arise, and how to manage them. Present governance initiatives lack the mechanisms and institutions to prevent misuse and recklessness, and barely address autonomous systems.
  arXiv  Detail & Related papers  (2023-10-26T17:59:06Z)
• Fairness in AI and Its Long-Term Implications on Society [68.8204255655161]
  We take a closer look at AI fairness and analyze how lack of AI fairness can lead to deepening of biases over time. We discuss how biased models can lead to more negative real-world outcomes for certain groups. If the issues persist, they could be reinforced by interactions with other risks and have severe implications on society in the form of social unrest.
  arXiv  Detail & Related papers  (2023-04-16T11:22:59Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)
• Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things [98.10037444792444]
  We show how AI can empower the IoT to make it faster, smarter, greener, and safer. First, we present progress in AI research for IoT from four perspectives: perceiving, learning, reasoning, and behaving. Finally, we summarize some promising applications of AIoT that are likely to profoundly reshape our world.
  arXiv  Detail & Related papers  (2020-11-17T13:14:28Z)
• Learning from the Past: How Previous Technological Transformations Can Guide AI Development [9.437599568164869]
  We identify pitfalls and solutions that suggest how AI can be developed to its full potential.<n>If done right, AI will be instrumental in achieving the goals we set for the economy, the society, and the world in general.
  arXiv  Detail & Related papers  (2019-05-30T17:06:11Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.