InTransmit Security EngineeringbyDvir Dadon·Oct 19Not All Faces Are Matched Equally: Engineering Face Recognition Across Races and NationsHow we test and tune face matching for identity verification across races and nations
Duygu Cakir·Oct 9Yapay Zekaya Var da Bize Yok mu?Bugün, içimdeki akademisyen günlük makalelerini okurken tüm gücüyle haykırdı: yaz kızım!
Aaryavchinta·Sep 19Surveillance Pricing Makes AI Ticket Pricing Unfair, and It Needs Some Limits.Imagine finding tickets for your favorite concert. Sadly, you see the price jump by $15 a few minutes later. You check again, and the price…A response icon1A response icon1
Anjula Weeranayake·Jun 18One Word, Three Entirely Different Problems: Why AI Bias Discussions Keep Talking Past Each OtherThe reason your organisation’s AI ethics conversations go in circles might have nothing to do with disagreement — and everything to do with…
Kirigo Ndungu·Jun 17How Bias Seeps In Before You Code: Why Data Choices Matter More Than AlgorithmsBias in machine learning algorithms is perceived as an artefact of the algorithm itself, a strict mathematical sense of overfitting and…
JR DeLaney | AI Enthusiast | Podcaster | Novelist·Feb 21The Invisible AI — Part3: Your Bias Is Showing — And So Is the Algorithm’s
Shailendraa Kumar·Feb 20Why AI Fairness is Dead WrongThe Hidden Truth About Complexity in Algorithmic Bias
Tam Abaku·Feb 15Why Your AI Project Will Fail Without Understanding History: Applying PMI’s M.O.R.E.As project managers, we’re moving beyond delivering on time and on budget. PMI’s M.O.R.E. Framework challenges us to Manage Perceptions…
Micheal Lanham·Jan 14The Hidden Trap of “Fair AI Over Time”: Why Your Self-Learning Agent Can’t Fix Its Own BiasYour AI assistant promises to learn and adapt. But new research proves that fairness across user groups has a hard mathematical limit that…
