AI in Workplace Compliance: Navigating Ethics and Governance with Andrew Gadomski

In this episode we speak with Andrew Gadomski, Branch Chief (A), Workforce Planning & Strategy at the Cybersecurity and Infrastructure Security Agency about AI's role in workplace compliance and ethics. We look at the importance of workforce composition and the skills that are in demand and how this plays into evolving employer loyalty. We discuss HR's role in AI governance, de-risking, and the political influence on enforcement.

Connect with Andrew Gadomski here: https://www.linkedin.com/in/andrewgadomski/

Takeaways

• Data plays a crucial role in decision-making, and organizations should use it to drive compliance and ethical practices.
• Ethical AI in the workplace involves non-discrimination, responsible personnel actions, secure data handling, and reasonable accommodations.
• AI can be used for similarity matching between position descriptions and candidate profiles, but veracity of data is essential for accurate results.
• Organizations should focus on transparency and trust in AI processes, and consider the ethical implications of AI applications in different industries.
• Third-party audited AI can provide more reliable and trustworthy results compared to internally developed AI solutions. The end goal of recruitment should be to fill jobs quickly, ideally within two weeks of posting.
• Loyalty to employers has changed, and employees no longer fear leaving organizations. This shift has significant implications for company culture and management.
• The role of a Chief AI Officer is crucial in industries such as healthcare and finance, where data integrity and compliance are paramount.
• HR should play a key role in creating guardrails for AI and ensuring ethical and responsible use of AI in employment.
• De-risking is an important aspect of AI governance, and organizations should prioritize compliance and risk management.
• Government regulation and legislation are shaping the governance of AI, and organizations need to stay informed and compliant.

Chapters

00:00 Introduction and Background

01:19 Transition to Government Work

03:08 The Importance of Data in Decision-Making

04:04 Transition to Auditing and Compliance

05:27 Using AI for Compliance and Pay Equity

06:20 The Uncertainty of AI in Employment and Recruiting

07:18 The Link Between AI and Shareholder Value

08:16 Ethical AI and Compliance

09:00 Areas to Focus on for Ethical AI in Employment

10:22 The Role of AI in Decision-Making and Mobility

11:19 Using AI for Performance Improvement and Lateral Moves

12:17 The Challenges of Integrating AI Solutions

13:43 The Importance of Third-Party Audited AI

14:57 Defining Ethical AI in the Workplace

16:21 The Role of Reasonable Accommodations in Ethical AI

19:12 The Challenge of Trusting Data in AI

20:30 Veracity of Data in AI and HR

29:38 The End Goal: Filling Jobs Quickly

30:14 The Fear of Leaving

31:08 Changing Loyalty to Employers

32:17 The Shift in Job Application Volume

33:22 The Incentive to Leave Organizations

36:03 The Need for a Chief AI Officer

38:29 Creating Guardrails for AI

41:22 The Role of HR in AI Governance

43:49 The Importance of De-risking

45:17 Government Regulation and AI Governance

48:02 The Influence of Politics on Enforcement

51:27 Closing Remarks