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9 comments, sorted by Debate Model Security Vulnerabilities: A sufficiently strong misaligned AI may be able to convince a human to do dangerous things. AI Safety Dichotomy : we are safer if the agents stay honest throughout training, but we are also safer if debate works well enough that sudden large defections are corrected. My experiments based of the paper "AI Safety via Debate" - DylanCope/AI-Safety-Via-Debate Geoffrey Irving, Paul Christiano, and Dario Amodei of OpenAI have recently published "AI safety via debate" (blog post, paper). As I read the paper I found myself wanting to give commentary on it, and LW seems like as good a place as any to do that.

Ai safety via debate

We can ask why we were denied that bank loan, or why a judge handed down a Of course, for AI Safety Systems to improve safety on our roads they must actually be proven safe themselves. ADA is advocating for global harmonisation of standards and regulations for all AI Systems deployed on our roads with a particular focus on behavioural standards. ADA is contributing this debate with the ADA Turing Test. Code for the single pixel debate game from the paper "AI safety via debate" (https ://arxiv.org/abs/1805.00899) - openai/pixel. Produced two new alternative AI safety via debate proposals, “AI Safety via Market Making” and “Synthesizing Amplification and Debate.

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This post points out that we have an existing system that has been heavily optimized for this already: evidence law, which governs how court cases are run. Artificial intelligence (AI), or machine intelligence, has been defined as “intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans” and “…any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.” 1 The goal of long-term artificial intelligence (AI) safety is to ensure that advanced AI systems are reliably aligned with human values — that they reliably do things that people want them to do. Roughly by human values we mean whatever it is that causes people to choose one option over another in each case, suitably corrected by reflection Status: Archive (code is provided as-is, no updates expected) Single pixel debate game. Code for the debate game hosted at https://debate-game.openai.com.Go there for game instructions or to play it.

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Chapter 27 Consequentialism, Deontology, and Artificial Intelligence Safety. Mark Walker. Chapter 28 Smart Machines ARE a Threat to 論文：AI safety via debate 著者：Geoffrey Irving, Paul Christiano, Dario Amodei. エージェントが人間の価値観や嗜好に合わせるよう学ぶことは、AIシステムが安全であることを保証する上で重要なことだと考えています。 2019-08-26 · The introduction of AI-enabled technologies in self-driving vehicles, at a nuclear power plant, or in the avionics systems of a jet airliner, raises issues of how to manage the uncertainties associated with human-machine interactions with AI-enabled systems. Occupational safety and health practitioners, researchers, employers and workers must Future AI will allow us to displace routine labor and make possible abundance and leisure for all. But it will not tax the rich.

The technique was suggested as part of an approach to build advanced AI systems that are aligned with human values, and to safely apply machine learning techniques to problems that have high Artificial intelligence (AI), or machine intelligence, has been defined as “intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans” and “…any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.” 1 Wikipedia goes on to classify AI into three different types of systems 1: 1.5m members in the MachineLearning community. Press J to jump to the feed. Press question mark to learn the rest of the keyboard shortcuts Geoffrey Irving, Paul Christiano, and Dario Amodei of OpenAI have recently published "AI safety via debate" (blog post, paper). As I read the paper I found myself wanting to give commentary on it, and LW seems like as good a place as any to do that.
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MIRI supporters donated ~$135k on Giving Tuesday, of which ~26% was matched by I'm Greg Brockman, co-founder of OpenAI, a non-profit artificial intelligence development organization.

Balancing Sustainability and Infection Control: The Case for Reusable Laryngoscopes. The goal of long-term artificial intelligence (AI) safety is to ensure that advanced AI systems are reliably aligned with human values — that they reliably do things that people want them to do.
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This page outlines in broad strokes why we view this as a critically important goal to work toward today.