W samym sercu Bostonu, w słynnych salach MIT Sloan School of Management, niezwykły student Benjamin Manning nie tylko przygotowuje się na przyszłość pracy, ale jest głęboko zaangażowany w jej badanie. Jego główne zainteresowanie? Szybko rosnący wpływ sztucznej inteligencji na nasze codzienne życie. Manning jest typem naukowca, który ośmiela się zadawać kluczowe pytania. W jaki sposób należy zaprojektować powstające systemy sztucznej inteligencji, aby odzwierciedlały ludzkie preferencje? Jak może wyglądać świat, gdy stery złożonych procesów decyzyjnych zostaną przekazane maszynom?
Jako doktorant w MIT Sloan, Manning łączy ekonomię i informatykę, aby zbadać intrygującą możliwość działania sztucznej inteligencji w naszym najlepszym interesie. Jego badania sięgają głębiej w to, jak działania AI mogą wpływać na szersze systemy gospodarcze. Koncentrując się na skrzyżowaniu sztucznej inteligencji, krajobrazów ekonomicznych i ludzkich zachowań, Manning jest nastawiony na projektowanie sztucznej inteligencji, która jest nie tylko wydajna, ale także zsynchronizowana z wartościami i preferencjami ludzi, którym służy.
This passion for academia didn’t land on Manning overnight. His academic roots trace back to his bachelor’s degree in Mathematics from Washington University in St Louis. That was followed by a master’s in public policy from Harvard Kennedy School. It was his stint as a research assistant that truly solidified his love for academia, culminating in his pursuit of a PhD. In his words, “There’s no better place in the world to study economics and computer science than MIT. Nobel and Turing award winners are my daily inspiration, and the IT group here allows me to freely traverse both fields.”
Reflecting on his tenure at MIT, Manning acknowledges the intensity while celebrating the deep rewards. He reels off his first-hand experience with noteworthy humility, “It’s no exaggeration to say I learned more in my first year as a PhD candidate than in all four years of undergrad.” The ballistic pace of MIT, the fountain of groundbreaking ideas, and the world-class mentorship gracing its corridors have equipped him with the apt tools to conduct innovative research threading economics and AI.
Among the thrilling facets of Manning’s research, one stands out – the simulation of human behavior using artificial intelligence. Manning has his sights set on a future where researchers can swiftly run millions of behavioral simulations in minutes. This would enable them to test hypotheses and refine experiments before human participants come into the picture. In Manning’s words, “This isn’t about replacing human insight, but amplifying it. Scientists can instead focus on asking better questions, developing theories, and interpreting results while AI handles the computational heavy lifting.”
For Manning, this is only the tip of the iceberg. He’s convinced that these AI technologies could entirely transform the way we conduct research, accelerating discoveries, and matching pace with the swift alterations in our economy. In his view, “We are possibly moving towards a world where the pace of understanding may get much closer to the speed of economic change”.
On the brink of his PhD program’s conclusion, Manning’s aspirations lead him toward an academic career as a faculty member at a business school, following the path of those who’ve mentored and inspired him at MIT Sloan. Despite his rigorous academic schedule, he cherishes the MIT experience and the prestige it carries – a feeling his mother shares every chance she gets, “My mom definitely won’t ever get over telling people about it”, he candidly admits.
To delve deeper into Manning’s journey and his work on AI, visit the original article on MIT News.
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