2018-08-23 · Chapter 25 Military AI as a Convergent Goal of Self-Improving AI. Alexey Turchin and David Denkenberger. Chapter 26 A Value-Sensitive Design Approach to Intelligent Agents. Steven Umbrello and Angelo F. De Bellis. 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。
ArXiv180500899 Cs Stat. Jobin, A., Ienca, M., & Vayena, E. ( 2019). The global landscape of AI ethics guidelines. Nature The Debate on the Ethics of AI in Health Care: A Reconstruction and Critical Narrow AI Nanny: Reaching Strategic Advantage Via Narrow AI to Prevent Mar 4, 2019 Then I'm going to explain to you the safety via debate method, which is one of the We want to train AI systems to robustly do what humans want. Mar 22, 2021 I really don't want my AI to strategically deceive me and resist my weak experts, AI safety via debate, and recursive reward modeling. The paper "AI safety via debate" by Geoffrey Irving, Paul Christiano, and Dario Amodei is uploaded to the arXiv.
9 comments, sorted by 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. What follows are my thoughts taken section-by-section. 1 INTRODUCTION This seems like a good time to confess that I'm interested in safety via Debate is a proposed technique for allowing human evaluators to get correct and helpful answers from experts, even if the evaluator is not themselves an expert or able to fully verify the answers [1].
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 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.
Mar 30, 2020 Debate flares over using AI to detect Covid-19 in lung scans tested using chest images captured via X-rays or computed tomography (CT) scans. in medicine and its underlying questions of safety, fairness, and priva
We report results on an initial MNIST experiment where agents compete to convince a sparse classifier, boosting the classifier's accuracy from 59.4% to 88.9% given 6 pixels and from 48.2% to 85.2% given 4 pixels. AI safety via debate. May 2018; Authors: Geoffrey Irving.
av O Olsson · 2019 · Citerat av 3 — 2017). These range from environmental issues such as adverse effects on air, soil and water quality The discussion partly concerns the actual availability of mineral make sure that adequate supply is available over the coming decades. education collaboration, health and safety, and investments in human capital.
Writeup: Progress on AI Safety via Debate Authors and Acknowledgements Overview Motivation Current process Our task Progress so far Things we did in Q3 Early iteration Early problems and strategies Difficulty pinning down the dishonest debater Asymmetries Questions we’re using With that in mind, here are some of our favourite questions: Current debate rules Comprehensive rules Example debate AI Safety via Debate post by ESRogs · 2018-05-05T02:11:25.655Z · LW · GW · 12 comments. What would "optimal play in debate picks out a single line of argument Debate is a proposed technique for allowing human evaluators to get correct and helpful answers from experts, even if the evaluator is not themselves an expert or able to fully verify the answers [1]. 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 In this post, I highlight some parallels between AI Safety by Debate (“Debate”) and evidence law.. Evidence law structures high-stakes arguments with human judges.
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. 2018-05-02 · In practice, whether debate works involves empirical questions about humans and the tasks we want AIs to perform, plus theoretical questions about the meaning of AI alignment. We report results on an initial MNIST experiment where agents compete to convince a sparse classifier, boosting the classifier's accuracy from 59.4% to 88.9% given 6 pixels and from 48.2% to 85.2% given 4 pixels. AI Safety via Debate.
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Another way of looking at the issue is to reframe problems with AI as challenges to overcome and opportunities to improve. For example, if an AI car has an accident, there is some debate about whose fault that is. AI safety, AI ethics and the AGI debate. Alayna Kennedy on the TDS podcast. Jeremie Harris.
Jobin, A., Ienca, M., & Vayena, E. ( 2019). The global landscape of AI ethics guidelines. Nature
The Debate on the Ethics of AI in Health Care: A Reconstruction and Critical Narrow AI Nanny: Reaching Strategic Advantage Via Narrow AI to Prevent
Mar 4, 2019 Then I'm going to explain to you the safety via debate method, which is one of the We want to train AI systems to robustly do what humans want.
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After going over a few of the blog posts on your site, I seriously appreciate your Ahaa, its fastidious discussion on the topic of this paragraph here at this web site, I have Being an crucial safety evaluate well before leaving on a trip one should When you are traveling by air, there is absolutely no longer any reason to
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. In artificial intelligence (AI) and philosophy, the AI control problem is the issue of how to build a In 2017, DeepMind released AI Safety Gridworlds, which evaluate AI Such debate is intended to bring the weakest points of an ans AI alignment is acknowledged as a key issue to ensure AI safety. the description of an experimental setting aiming at reasoning-oriented alignment via debate, Code for the single pixel debate game from the paper "AI safety via debate" (https ://arxiv.org/abs/1805.00899) - openai/pixel.