State of AI Report October 11, 2022#stateofai stateof.ai Ian Hogarth Nathan Benaich每日免费获取报告 1、每日微信群内分享7+最新重磅报告； 2、每日分享当日华尔街日报、金融时报； 3、每周分享经济学人 4、行研报告均为公开版，权利归原作者 所有，起点财经仅分发做内部学习。 扫一扫二维码 关注公号 回复：研究报告 加入“起点财经”微信群。。 About the authors Nathan is the General Partner of Air Street Capital , a venture capital firm investing in AI-first technology and life science companies. He founded RAAIS and London.AI (AI community for industry and research), the RAAIS Foundation (funding open-source AI projects), and Spinout.fyi (improving university spinout creation). He studied biology at Williams College and earned a PhD from Cambridge in cancer research. Nathan Benaich Ian Hogarth Ian is a co-founder at Plural , an investment platform for experienced founders to help the most ambitious European startups. He is a Visiting Professor at UCL working with Professor Mariana Mazzucato. Ian was co-founder and CEO of Songkick, the concert service. He started studying machine learning in 2005 where his Masters project was a computer vision system to classify breast cancer biopsy images. Introduction | Research | Industry | Politics | Safety | Predictions #stateofai | 2 stateof.ai 2022Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines. We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence. The State of AI Report is now in its fifth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future. We consider the following key dimensions in our report: -Research : Technology breakthroughs and their capabilities. -Industry : Areas of commercial application for AI and its business impact. -Politics : Regulation of AI, its economic implications and the evolving geopolitics of AI. -Safety : Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us. -Predictions : What we believe will happen in the next 12 months and a 2021 performance review to keep us honest. Produced by Nathan Benaich (@nathanbenaich), Ian Hogarth (@soundboy), Othmane Sebbouh (@osebbouh) and Nitarshan Rajkumar (@nitarshan). stateof.ai 2022#stateofai | 3 Introduction | Research | Industry | Politics | Safety | PredictionsThank you! Othmane Sebbouh Research Assistant Othmane is a PhD student in ML at ENS Paris, CREST-ENSAE and CNRS. He holds an MsC in management from ESSEC Business School and a Master in Applied Mathematics from ENSAE and Ecole Polytechnique.#stateofai | 4 Nitarshan Rajkumar Research Assistant Nitarshan is a PhD student in AI at the University of Cambridge. He was a research student at Mila and a software engineer at Airbnb. He holds a BSc from University of Waterloo. Introduction | Research | Industry | Politics | Safety | Predictions stateof.ai 2022Definitions stateof.ai 2022#stateofai | 5 Artificial intelligence (AI): a broad discipline with the goal of creating intelligent machines, as opposed to the natural intelligence that is demonstrated by humans and animals. Artificial general intelligence (AGI): a term used to describe future machines that could match and then exceed the full range of human cognitive ability across all economically valuable tasks. AI Safety: a field that studies and attempts to mitigate the catastrophic risks which future AI could pose to humanity. Machine learning (ML): a subset of AI that often uses statistical techniques to give machines the ability to "learn" from data without being explicitly given the instructions for how to do so. This process is known as “training” a “model” using a learning “algorithm” that progressively improves model performance on a specific t