首页|Study Findings from University of Southern California Update Knowledge in Artifi cial Intelligence (The Butterfly Effect in artificial intelligence systems:Impl ications for AI bias and fairness)
Study Findings from University of Southern California Update Knowledge in Artifi cial Intelligence (The Butterfly Effect in artificial intelligence systems:Impl ications for AI bias and fairness)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published.According to news reporting originating from the University of Southern California by NewsRx correspondents,research stated,"T he concept of the Butterfly Effect,derived from chaos theory,highlights how se emingly minor changes can lead to significant,unpredictable outcomes in complex systems." Our news correspondents obtained a quote from the research from University of So uthern California:"This phenomenon is particularly pertinent in the realm of AI fairness and bias.Factors such as subtle biases in initial data,deviations du ring algorithm training,or shifts in data distribution from training to testing can inadvertently lead to pronounced unfair results.These results often dispro portionately impact marginalized groups,reinforcing existing societal inequitie s.Furthermore,the Butterfly Effect can magnify biases in data or algorithms,i ntensify feedback loops,and heighten susceptibility to adversarial attacks.Rec ognizing the complex interplay within AI systems and their societal ramification s,it is imperative to rigorously scrutinize any modifications in algorithms or data inputs for possible unintended effects.This paper proposes a combination o f algorithmic and empirical methods to identify,measure,and counteract the But terfly Effect in AI systems."
University of Southern CaliforniaArtif icial IntelligenceEmerging TechnologiesMachine Learning
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