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Kareem Saleh

AI Entrepreneur, FinTech Executive

Kareem Saleh is a seasoned executive with extensive experience in AI, financial services, and government. He served as Executive Vice President at Zest AI from May 2016 to June 2020, where he led go-to-market strategy for the company's AI-powered underwriting platform.12

After his tenure at Zest AI, Saleh founded FairPlay, the world's first Fairness-as-a-Service company, where he currently serves as CEO.23 FairPlay focuses on automating fair lending compliance and increasing fairness in financial institutions' marketing, underwriting, and collections models.3

Career Highlights

  • Founder & CEO of FairPlay (2020 - present)
  • Executive Vice President at Zest AI (May 2016 - June 2020)
  • Senior Advisor to the CEO at Overseas Private Investment Corporation (July 2014 - June 2015)
  • Chief of Staff at U.S. Department of State (June 2012 - July 2014)

Education

  • Georgetown University Law Center (2006 - 2010)
  • University of Chicago (honors graduate)

Saleh is a Forbes contributor and frequently speaks on AI applications in financial services.3 His diverse background includes roles in the Obama Administration, where he helped manage the team that negotiated the Paris Climate Agreement and directed part of the U.S. Government's $30B portfolio of emerging market investments.23

Highlights

Aug 28 · linkedin

Are We Building AI on Shaky Foundations?

Imagine constructing a skyscraper without thoroughly vetting your materials.

That's essentially what we've been doing in AI, according to a recent Nature Magazine study. (Link 👇 in the comments)

Researchers introduced a novel framework to evaluate datasets used in biometrics and healthcare through three critical lenses: fairness, privacy, and regulatory compliance.

Fairness looks at how well a dataset represents diverse groups. It considers diversity (Does the dataset include a wide range of demographics?), inclusivity (Are all groups meaningfully represented?), and label reliability (How trustworthy is the attached information?). A fair dataset should reflect the rich tapestry of humanity, with accurate, self-reported descriptions.

The privacy assessment asks whether datasets could potentially identify individuals or disclose sensitive information. Researchers checked for personal identifiers and sensitive attributes in the data. A high privacy score indicates minimal personal information, safeguarding individual identities.

Regulatory compliance looks at whether the data was reviewed by an ethics board, if informed consent was obtained from participants, and whether there are mechanisms for data correction and deletion. A compliant dataset would tick all these boxes.

The study analyzed 60 datasets, and the results are sobering:

Fairness scores averaged a mere 0.96 out of 5. Our AI systems are learning from woefully unrepresentative data—like teaching a child about society using a book depicting only one type of person.

Privacy scores were slightly better, but a "fairness-privacy paradox" emerged: To make datasets fairer, we often need more demographic data, but gathering more data can heighten privacy risks.

Regulatory compliance scores were truly dismal, averaging just 0.58 out of 3. Many datasets lack even basic safeguards like institutional review board approval, individual consent, and mechanisms for data correction or deletion.

The path forward? Researchers recommend:

  1. Securing proper approvals and individual consent
  2. Implementing mechanisms for data correction and deletion
  3. Striving for diversity while safeguarding privacy
  4. Developing comprehensive datasheets documenting dataset characteristics

As we stand at the precipice of an AI-driven future, are we comfortable building our digital world on sand or should we take the time to lay a solid bedrock for the AI revolution? The choice is ours.

Aug 26 · linkedin

Does Your Grocery List Hold the Key to Your Credit Score? 🛒💳

Imagine a world where your love for fresh kale could give your credit score a boost, while that late-night ice cream run might actually hurt it.

Sound far-fetched?

Not according to a fascinating new study exploring the use of grocery data in credit decisions. (Hat tip to Jonathan Joshua for bringing this research to my attention!)

Picture this: Two shoppers, Alice and Bob.

Alice consistently buys fresh milk, beans, and vinegar dressings. She shops every Friday, spends similar amounts each trip, and is a savvy deal hunter.

Bob, on the other hand, frequently purchases energy drinks and processed meats. His shopping trips are erratic, with wildly varying basket sizes.

According to the study, Alice is more likely to pay her credit card bills on time than Bob—even after accounting for factors like income and traditional credit scores.

Key findings that might make you rethink your grocery list:

➡ Healthier, Less Convenient Foods: Opting for raw ingredients over microwave meals is linked to more responsible payment behavior. ➡ Routines Matter: Consistent shopping habits, like sticking to the same shopping day and similar basket sizes, predict lower default risk. ➡ Deal-Seeking Pays Off: Shoppers who regularly take advantage of promotions tend to have better credit histories.

This data could be transformative for the "credit invisible" — those who lack traditional credit scores. But it also opens a Pandora's box of ethical questions:

🔷 Fairness Concerns: Could using grocery data for underwriting unfairly penalize lower-income and marginalized shoppers who may not have access to fresh, healthy foods? 🔷 Ethical Dilemmas: Is it right to judge someone’s creditworthiness based on whether they buy cigarettes or junk food? 🔷Balancing Act: How do we weigh the benefits of financial inclusion against the privacy concerns of using such personal data?

While the study acknowledges these challenges, it stops short of offering definitive answers.

The next time you're in the grocery aisle, remember: your choices might be feeding more than just your appetite—they could be feeding your financial future.

Related Questions

What is Kareem Saleh's role at FairPlay?
How did Kareem Saleh contribute to the Paris Climate Agreement?
What are some notable achievements of Kareem Saleh in the Obama Administration?
How did Kareem Saleh's experience at Zest AI shape his career?
What is the mission of FairPlay, and how does it address algorithmic bias?
Kareem Saleh
Kareem Saleh, photo 1
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Location

Los Angeles, California