{"id":1623,"date":"2026-06-23T21:06:45","date_gmt":"2026-06-23T21:06:45","guid":{"rendered":"https:\/\/sites.rutgers.edu\/raise\/?page_id=1623"},"modified":"2026-08-16T17:25:08","modified_gmt":"2026-08-16T17:25:08","slug":"raise-27","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/raise\/raise-27\/","title":{"rendered":"RAISE 27"},"content":{"rendered":"
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RAISE-27<\/h1>\n

Artificial Intelligence – Informatics – Data Science AI Competition<\/span><\/h3>\n

AI Came, AI Saw, AI Conquered?<\/h2>\n

\nPromise of Value Creation versus<\/span> Illusory Irrational Exuberance
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RAISE-27 invites undergraduate and graduate students from all disciplines to explore one of the defining questions of our time:
\nWhat should we realistically expect AI to do, under what conditions, with what limitations, and with what evidence of value?<\/p>\n

AI came. AI saw. But has AI conquered?<\/b><\/p>\n

RAISE-27 invites students to examine the evidence, challenge the assumptions, separate value from illusion, and help shape a more informed understanding of the AI-driven future.The challenge is to examine what we realistically expect AI to accomplish. Can AI solve every important problem facing humanity? Do we understand the kinds of problems AI is well suited to solve and the problems it cannot? Where does genuine technological progress end, and where does irrational exuberance begin?<\/p>\n

AI risks being viewed as a technological elixir: a force expected to continuously deliver productivity, intelligence, prosperity, and solutions to humanity\u2019s most difficult challenges. AI may contribute to addressing these challenges, but it does not follow that AI can conquer them.<\/p>\n

The goal is not to reject technological optimism, but to develop disciplined optimism<\/b> – an evidence-based understanding of what AI can realistically contribute without mistaking powerful tools for universal solutions.<\/p>\n

RAISE-27 asks students to investigate the space between AI’s extraordinary promise and its real-world impact.<\/p>\n

Rather than treating AI simply as an inevitable technological revolution, participants are encouraged to question its assumptions, evaluate its successes and failures, and explore what meaningful AI-driven progress should actually look like. Where is AI improving productivity, discovery, decision-making, creativity, accessibility, and quality of life? Where is it merely replacing existing processes without creating meaningful value? And where might the excitement surrounding AI be obscuring its limitations, risks, costs, and unintended consequences?<\/p>\n

This cutting-edge Artificial Intelligence, Informatics, and Data Science Competition from the MPI Program at the Bloustein School, Rutgers University invites students to investigate the opportunities, contradictions, risks, and responsibilities emerging from an increasingly AI-driven world.<\/p>\n<\/div>\n

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Quick Facts<\/div>\n