Progress in artificial intelligence

Progress in artificial intelligence (AI) refers to the advances, milestones, and breakthroughs that have been achieved in the field of <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> over time. AI is a multidisciplinary branch of <a href="/facts/Computer_science/lN3pEyPz">computer science</a> that aims to create machines and systems capable of performing tasks that typically require human intelligence. AI applications have been used in a wide range of fields including <a href="/facts/Medical_diagnosis/J47rvb0p">medical diagnosis</a>, <a href="/facts/Finance/fLh1GgN8">finance</a>, <a href="/facts/Robotics/wkmvodJz">robotics</a>, <a href="/facts/Law/luzxWkg0">law</a>, <a href="/facts/Artificial_intelligence_in_video_games/gK3NxKyN">video games</a>, <a href="/facts/Agriculture/TGztqzJs">agriculture</a>, and scientific discovery. However, many AI applications are not perceived as AI: "A lot of cutting-edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's <a href="/facts/AI_effect/rgu48qxq">not labeled AI anymore</a>." "Many thousands of AI applications are deeply embedded in the infrastructure of every industry." In the late 1990s and early 2000s, AI technology became widely used as elements of larger systems, but the field was rarely credited for these successes at the time.
<a href="/facts/Andreas_Kaplan/r99jHDRP">Kaplan</a> and Haenlein structure artificial intelligence along three evolutionary stages:

<ol><li>Artificial narrow intelligence – AI capable only of specific tasks;</li>
<li><a href="/facts/Artificial_general_intelligence/vbxwaq8t">Artificial general intelligence</a> – AI with ability in several areas, and able to autonomously solve problems they were never even designed for;</li>
<li><a href="/facts/Artificial_superintelligence/VL1NaEPS">Artificial superintelligence</a> – AI capable of general tasks, including scientific <a href="/facts/Creativity/8sNGv9no">creativity</a>, <a href="/facts/Social_skills/8W31BlvH">social skills</a>, and general <a href="/facts/Wisdom/6Pqq0nAA">wisdom</a>.</li></ol>
To allow comparison with human performance, artificial intelligence can be evaluated on constrained and well-defined problems. Such tests have been termed <a href="/facts/Subject-matter_expert_Turing_test/JXsGPALb">subject-matter expert Turing tests</a>. Also, smaller problems provide more achievable goals and there are an ever-increasing number of positive results.
Humans still substantially outperform both GPT-4 and models trained on the ConceptARC benchmark that scored 60% on most, and 77% on one category, while humans 91% on all and 97% on one category.

Progress in artificial intelligence open-in-new

Progress in artificial intelligence