Sachin Kose PaulEthics in AI: Innovate with IntegrityIn the well-known fable “The Blind Men and the Elephant,” a group of blind men encounters an elephant for the first time. Each man touches…Aug 7
Bryan TruonginTowards Data ScienceMitigating Bias in AI with AIF360Predicting loan approval and examining the bias in doing soJan 14, 20213
Cal Al-DhubaibHow To Succeed in AI With Algorithmic and Human GuardrailsAs a data scientist and entrepreneur, I’ve built a niche in the intersection of data science and effective communication with business…May 14May 14
MIT IDEinMIT Initiative on the Digital EconomyHow to Improve AI Fairness in an Unfair WorldAI-human collaboration needs fine-tuning — and it’s not all about the machines. Will humans learn to accept AI decisions?Mar 27Mar 27
FARIDA KHALAFinCubedBreaking Bias: Charting the Course to Fair AI Decision-MakingIn the realm of AI-powered applications, where algorithms wield considerable influence over high-stakes decisions, the imperative of…May 11May 11
Sachin Kose PaulEthics in AI: Innovate with IntegrityIn the well-known fable “The Blind Men and the Elephant,” a group of blind men encounters an elephant for the first time. Each man touches…Aug 7
Bryan TruonginTowards Data ScienceMitigating Bias in AI with AIF360Predicting loan approval and examining the bias in doing soJan 14, 20213
Cal Al-DhubaibHow To Succeed in AI With Algorithmic and Human GuardrailsAs a data scientist and entrepreneur, I’ve built a niche in the intersection of data science and effective communication with business…May 14
MIT IDEinMIT Initiative on the Digital EconomyHow to Improve AI Fairness in an Unfair WorldAI-human collaboration needs fine-tuning — and it’s not all about the machines. Will humans learn to accept AI decisions?Mar 27
FARIDA KHALAFinCubedBreaking Bias: Charting the Course to Fair AI Decision-MakingIn the realm of AI-powered applications, where algorithms wield considerable influence over high-stakes decisions, the imperative of…May 11
Salih SalihinTowards Data ScienceUnderstanding Machine Learning InterpretabilityIntroduction to machine learning interpretability, driving forces, taxonomy, example, and notes on interpretability assessment.Jan 26, 20222
E.D. GibsonUnraveling Bias in AI Algorithms: A Closer Look at the Shadows Within Our CodeAs we increasingly lean on artificial intelligence (AI) to make decisions in various sectors including healthcare, criminal justice, and…Apr 24
Kunal BanerjeeinWalmart Global Tech BlogBias, Fairness and Explainability — steps towards building Responsible AIArtificial Intelligence (AI) has become a game changer in modern day industries in the last couple of decades. It is predicted that by…Jan 12, 20211