

HI, I'M ANDREW.
Andrew is a data scientist specializing in workforce analysis. He is the Auditor General at Aspen Analytics, a data analytics firm he founded in 2006. The firm has a decorated and documented 18-year history of serving the largest international employers.
He authored Aspen's audits which present compliance and/or risks related to AI, wage parity, and human capital disclosures, guidance, and regulations.
Andrew also executed strategic workforce planning for the US federal government in the coveted position of an Operations Research Senior Analyst. Andrew was granted specialized permission to maintain his authorship and operations of Aspen while serving his country.
Andrew received a Master of Science in Business Analytics from the Stern School of Business at New York University and undergraduate degrees from the Smeal School of Business at The Pennsylvania State University. He contributed to the authoring of ISO standards related to Human Capital metrics, has presented at dozens of international conferences regarding human resource analysis, and is a regular source for workforce and labor market insight to the Wall Street Journal.
He lives happily a few hundred yards from the Atlantic Ocean with his family in southern New Jersey and is an avid golfer and baseball fan.
AI, Lawsuits & Deepfakes: HR’s New Risk Frontier
Tuesday, April 7, 10:15 AM
As AI rapidly reshapes hiring and employment, HR leaders face intensifying legal, cybersecurity, and national‑security exposures. This session breaks down the evolving regulatory landscape, examines landmark cases like Mobley v. Workday and the FCRA‑based challenge to Eightfold, and reveals how deepfakes, synthetic applicants, and adversarial state‑sponsored infiltration are entering HR. Review and tactics will be shared to start building audit‑ready, defensible systems that balance innovation with compliance, including identity‑verification practices, vendor‑risk governance, and human‑in‑the‑loop safeguards. Walk away with a practical risk matrix and how to transparency, trust, and traceability in the new era of HR.
Learning Objectives:
1. Identify key regulatory developments affecting AI use in HR and their compliance implications.
2. Analyze legal risks and reputational exposure from recent litigation involving algorithmic hiring tools.
3. Implement cybersecurity protocols to detect and prevent fraudulent candidate activity.
4. Review audit-ready governance strategies for AI-assisted HR processes.
