Reflections 2022: The Power of Patents and the People Behind Them
In 2022, FICO was granted 11 new U.S. software patents
4 AI Predictions for 2023: From the Great Correction to Practical AI
A pragmatic approach I call Practical AI will rise in 2023 like a phoenix from the ashes of years of irrational exuberance around artificial intelligence
America’s AI Bill of Rights is the Right Idea – and It’s About Time
The AI Bill of Rights is the first step toward similar regulation of AI and machine learning algorithms
Where Are We Now? 2022 Data Science and AI Predictions Revisited
Within my AI predictions for the year, interpretable machine learning (ML) models have surprised me by garnering greater awareness from data science leaders
AI Governance: A Critical Component of Corporate ESG Initiatives
Helping organizations navigate the often-challenging implementation of Responsible AI as part of ESG efforts
FICO’s New AML Scores Use AI and ML to Detect Money Laundering
New AML scores reduce false positive alerts by 50% while detecting 100% of known money laundering transactions, and discover new aberrant, potentially risky behaviors
“There Can Be Only One”: The Highlander Principle of Data Science
Many organizations, including data science teams, derail innovation with internal competition that fragments resources and energy.
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
Fighting Bias: How Interpretable Latent Features Remove Bias in Neural Networks
FICO’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.
FICO’s New AI Playbook: How to Achieve Responsible AI
The 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.
Open Source Junkies: How Much Analytic Power Do You Need?
Data 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
Beyond Responsible AI: 8 Steps to Auditable Artificial Intelligence
Auditable AI provides the documentation and records necessary to pass a regulatory review
It’s 2021. Do You Know What Your AI Is Doing?
New "State of Responsible AI" report from Corinium and FICO finds that most companies don’t—and are deploying artificial intelligence at significant risk
Trusted AI: The Science of Monotonicity in Neural Networks
In 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
Trusted AI: The Challenge of Monotonicity and Palatability
In part 1 of this series, I explore why it's vital - and difficult - to achieve monotonicity and palatability in certain AI models
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