Daniel Yanisse (Checkr) & Rich Wong (Accel) - Tackling bias in people and AI

TL;DR

Checker, a leading HR software company, utilizes AI technology to streamline background checks while addressing the concerns of bias and fairness in hiring.

Transcript

welcome Daniel it's an honor as always to sit and talk with you and I happen to be an investor of Daniel so I'm extremely biased to be clear but thank you for taking the time Dan thanks Rich good to see you everyone good to see you um well we're going to talk about a few things uh we'll certainly hit the topic of you know biasing people in Ai and h... Read More

Key Insights

• 🥰 Background checks are a crucial part of the HR industry, and Checker has emerged as a market leader by streamlining the process and implementing AI technology.
• 🥰 AI technology has the potential to improve efficiency and accuracy in HR software, but concerns about bias have slowed its adoption in the past.
• ⚾ Checker's approach to mitigating bias includes giving employers the tools to make informed decisions based on both flagged issues and the candidate's personal story.
• 🧚 The concept of fair chance hiring is gaining traction, as companies recognize the need to provide opportunities to individuals with a criminal background.
• 👨‍💼 Checker's success and growth can be attributed to its ability to adapt to changes in the market, such as the transition from hypergrowth to a more stable business model.
• 🥰 The use of AI in the HR industry is often overhyped, but it has the potential to create significant business value when applied to specific problems and verticals.

Questions & Answers

Q: How did Daniel's background in early stage startups contribute to the founding of Checker?

Daniel's experience as an engineer in early stage startups exposed him to the processes of finding customers, building products, and identifying problems to tackle. This experience led to the idea of starting a company focused on streamlining background checks.

Q: How has Checker overcome concerns about bias in AI technology?

Checker has implemented principles to ensure that AI does not make hiring decisions. Instead, AI is used for tasks like cleaning up data and identifying inconsistencies, while decisions are made by employers based on a combination of flagged issues and the candidate's own story.

Q: What is the concept of fair chance hiring, and how does Checker support it?

Fair chance hiring aims to provide job opportunities for individuals with a criminal background. Checker supports this by enabling employers to assess both negative flags in a background check and the candidate's story, allowing for a more holistic evaluation.

Q: How has Checker addressed bias and fairness in its own hiring practices?

Checker has been an advocate of fair chance hiring and has hired around 5% of its workforce from individuals with a fair chance background. The company also partners with nonprofits and supports prison programs to help individuals transition from incarceration to employment in the tech industry.

Summary & Key Takeaways

• Checker was founded by Daniel after working in early stage startups and realizing the need for streamlining background checks in the HR industry.

• The company started with only two founders in 2014 and has now grown into a global market leader with over 100,000 customers and millions in revenue.

• Checker uses AI technology to improve data accuracy and efficiency in background checks, while maintaining a focus on fairness and mitigating bias.