AI Predictions 2022: The Great Humbling of AI
I predict that Auditable AI and Humble AI will become widely used in 2022, as essential parts of Responsible AI
Learn moreI predict that Auditable AI and Humble AI will become widely used in 2022, as essential parts of Responsible AI
Learn moreFICO’s data science labs called interpretable latent feature-based neural networks (ILF NNET) help expose and eliminate biases derived from data showing up in the model.
Learn moreThe Responsible AI Playbook provides a clear path to operationalizing AI deployments. Use it to achieve high-impact business results within important ethical and legal boundaries.
Learn moreData scientists need to justify the need for the incremental risk we assume when using more complicated methods to solve a problem - not be open source junkies
Learn moreAuditable AI provides the documentation and records necessary to pass a regulatory review
Learn moreFICO’s new Scam Detection Score identifies 50% more scam transactions compared to the standard fraud score
Learn moreNew "State of Responsible AI" report from Corinium and FICO finds that most companies don’t—and are deploying artificial intelligence at significant risk
Learn moreThere is an urgent need for open banking fraud detection, even before banks have sufficient data to train supervised fraud detection models
Learn moreIn part 2 of this series, I take a deep dive into the data science that drives monotonicity and palatability, qualities that help gain trust in AI
Learn moreNow there is a better way to reduce SAR false positives while stopping money laundering
Learn moreIn part 1 of this series, I explore why it's vital - and difficult - to achieve monotonicity and palatability in certain AI models
Learn moreResponsible AI is a standard for ensuring that AI is safe, trustworthy and unbiased
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