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Chris Yang | unsplash
Five years ago, Microsoft released its infamous bot, Tay, into the world of Twitter. Tay used a machine learning algorithm to learn from interactions on the platform, to then echo novel responses back based on that learning. Within short time it became obvious that Twitter is not ideal ground for unsupervised learning. It turns out that the people who scream the loudest arenât always the best teachers.
Without a filtering mechanism, Tay started parroting back all kinds of racist, bigoted and misogynistic tweets. So naturally a question arose: how can we expect AI to learn on its own by engaging the world without letting the world corrupt it with its worst demons?
Rome Call for Artificial Intelligence ethics draws global interest
AI Joint endeavour of Vatican, FAO, IBM and Microsoft ranked among global top 5 events in the field
22 April 2021, Rome - Artificial intelligence (AI) is a booming field drawing in large investments and already leading to major breakthroughs in the fields of drug discovery, chemical and molecular synthesis, computer vision systems and language models. It promises to catalyze revolutions in agri-food systems as well, and the Food and Agriculture Organization of the United Nations (FAO) is already deploying it and looking at its longer-term ramifications.
As FAO Director-General QU Dongyu has said, AI can have a tremendous positive impact, making agriculture more productive and sustainable , but care is required to prevent it from introducing unwelcome new economic, social and ethical challenges and risks.
Belen, lettera aperta ad Antonino: «Così mi sono innamorata» tio.ch - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from tio.ch Daily Mail and Mail on Sunday newspapers.
Microsoft Innovates at the Intersection of Hybrid Cloud AI and Industries at Ignite 2021 cmswire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from cmswire.com Daily Mail and Mail on Sunday newspapers.
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Linda C. Smith, then a doctoral student at Syracuse University s School of Information Studies, published a landmark paper in 1976 on the role of AI in information retrieval. Forty years later, her thesis came to fruition.
Over the last few years, software vendors have positioned AI as the solution to every known enterprise search problems. Yet surveys carried out from 2016 to 2020 (and indeed way back to 2007) all indicate that search is not in any way a solved problem and indeed, only in a minority of cases is search regarded as very satisfactory. Why are companies prepared to accept anything less?