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"headline" : "A Report on the state of AI and its implication for the future.",
"name" : "State of AI Report",
"about" : "A Report on artificial intelligence research, talent, politics, industry, startups, safety, and China.",
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"keywords" : ["State of AI Report 2022", "State of AI Report 2021", "State of AI Report 2020", "State of AI Report 2018", "State of AI Report 2019", "artificial intelligence", "deep learning", "machine learning", "reinforcement learning", "supervised learning", "startups", "venture capital", "State of AI", "State of AI Report", "State of AI Report 2018"],
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"articleBody" : "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.\n </P>\n <P class=\"subtext\">\n In this report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. Consider this report as a compilation of the most interesting things we’ve seen that seeks to trigger an informed conversation about the state of AI and its implication for the future. This edition builds on the State of AI Report 2022, which can be <A href=\"https://www.stateof.ai/2022\">found here</A>.\n </P>\n <OL> We consider the following key dimensions in our report:\n <LI><STRONG>Research:</STRONG> Technology breakthroughs and their capabilities. </LI>\n <LI><STRONG>Talent:</STRONG> Supply, demand and concentration of talent working in the field. </LI>\n <LI><STRONG>Industry:</STRONG> Large platforms, financings and areas of application for AI-driven innovation today and tomorrow. </LI>\n <LI><STRONG>Politics:</STRONG> Public opinion of AI, economic implications and the emerging geopolitics of AI. </LI>\n <LI><STRONG>Safety:</STRONG> How to ensure that highly-capable systems are aligned with our species.",
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<h1 class="title as-title" style="font-family: Francois One;">
STATE OF AI REPORT 2022<span style="color: #ff9900;">.</span>
</h1>
<a href="https://www.stateof.ai/" class="button">Home</a>
<a href="https://www.stateof.ai/2021" class="button">2021 Edition</a>
<a href="https://www.stateof.ai/2020" class="button">2020 Edition</a>
<a href="https://www.stateof.ai/2019" class="button">2019 Edition</a>
<a href="https://www.stateof.ai/2018" class="button">2018 Edition</a>
<a href="https://www.stateof.ai/compute" class="button">Compute Index</a>
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<p class="subtext center">
<ol>Now in its fifth year, the <b>State of AI Report 2022</b> is reviewed by leading AI practioners in industry and research. It considers the following key dimensions, including a new Safety section:
<li><strong>Research:</strong> Technology breakthroughs and their capabilities. </li>
<li><strong>Industry:</strong> Areas of commercial application for AI and its business impact. </li>
<li><strong>Politics:</strong> Regulation of AI, its economic implications and the evolving geopolitics of AI. </li>
<li><strong>Safety:</strong> Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us. </li>
<li><strong>Predictions:</strong> What we believe will happen and a performance review to keep us honest. </li>
</ol>
<p class="subtext center">
<ol><strong>Key themes in the 2022 Report include:</strong>
<li><strong>New independent research labs are rapidly open sourcing the closed source output of major labs.</strong> Despite the dogma that AI research would be increasingly centralised among a few large players, the lowered cost of and access to compute has led to state-of-the-art research coming out of much smaller, previously unknown labs. Meanwhile, AI hardware remains strongly consolidated to NVIDIA.</li>
<li><strong>Safety is gaining awareness among major AI research entities, </strong>with an estimated 300 safety researchers working at large AI labs, compared to under 100 in last year's report, and the increased recognition of major AI safety academics is a promising sign when it comes to AI safety becoming a mainstream discipline.</li>
<li><strong>The China-US AI research gap has continued to widen, </strong>with Chinese institutions producing 4.5 times as many papers than American institutions since 2010, and significantly more than the US, India, UK, and Germany combined. Moreover, China is significantly leading in areas with implications for security and geopolitics, such as surveillance, autonomy, scene understanding, and object detection.</li>
<li><strong>AI-driven scientific research continues to lead to breakthroughs, </strong>but major methodological errors like data leakage need to be interrogated further. Even though AI breakthroughs in science continue, researchers warn that methodological errors in AI can leak to these disciplines, leading to a growing reproducibility crisis in AI-based science driven in part by data leakage.</li>
</ol>
</p>
<br>
<a href="https://www.stateof.ai/2022-report-launch.html" class="button">Read more in our blog post</a>
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<hr/>
<a href="https://www.stateof.ai/2021" class="button">2021 Edition</a>
<a href="https://www.stateof.ai/2020" class="button">2020 Edition</a>
<a href="https://www.stateof.ai/2019" class="button">2019 Edition</a>
<a href="https://www.stateof.ai/2018" class="button">2018 Edition</a>
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Co-authored on the interwebs by:
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<strong><a href="https://www.twitter.com/nathanbenaich" target="_blank">Nathan Benaich</a> (<a href="https://www.airstreet.com/" target="_blank">Air Street Capital</a>)</strong>
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<strong><a href="https://www.twitter.com/soundboy" target="_blank">Ian Hogarth</a> (<a href="https://twitter.com/pluralplatform" target="_blank">Plural</a>)</strong>
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