The Authenticity Advantage: How Runbin Dong’s Scale Social AI Helps Small Businesses Shine
Podcast - FTC to Focus on Deceptive AI Claims: Compliance Management Strategies
Upping Your Game: Crowd - Sourcing Risk Management Intelligence with AI
Innovation in Compliance: Real-Time Fraud Prevention Strategies for Financial Loss Prevention with Vince Walden
Episode 373 -- Christian Focacci on Current Developments in AI and Risk Management
Work This Way: A Labor & Employment Law Podcast | Episode 48: Opportunities & Risks with Artificial Intelligence in HR with Chingwei Shieh of GE Power
Meet Phil Leslie, Cornerstone Research's New Chief Technology and Innovation Officer
The Future of Supply Chains: Chris Andrassy on Using AI to Predict & Prevent Disruptions
Compliance and AI: Using AI for Data Loss Prevention Systems with Vinay Goel
Compliance and AI: Revolutionizing Risk Management with John Byrne
Evolving AI Legislation: Federal Policies, Task Forces, and Proposed Laws — The Good Bot Podcast
Regulatory Ramblings: Episode 69 - Human Intelligence vs. Machine Judgment with Nigel Morris-Cotterill and Patrick Dransfield
Early Returns Podcast - Oliver Roberts: AI and the Law, and an Education
No Password Required: CEO of HACKERverse.ai, Disruptor of Cybersecurity Sales and Most Other Things
5 Key Takeaways | AI and Your Patent Management, Strategy & Portfolio
Compliance Tip Of the Day: Using AI to Transform Whistleblower Response
JONES DAY TALKS®: Women in IP – AI and Copyright Law Need-to-Knows
The FinReg Frontier: AI and Machine Learning in Consumer Finance — The Consumer Finance Podcast
Key Discovery Points: AI Says AI Will Replace Paralegals… But Not So Fast!
Compliance and AI: Ali Khan on Implementing AI Risk Management Systems
A closely watched class and collective action against the HR management services company Workday, Inc. reached a new milestone recently, when the Northern District of California conditionally certified Age Discrimination in...more
California wants to rein in artificial intelligence – and that means employers and businesses need to step up and pay attention. State lawmakers are considering more than 30 AI-related bills across a wide range of topics...more
Keypoint: In our first regular update on the happenings of US artificial intelligence law, we provide an overview of proposed state AI-related private sector bills. Below is our first regular update on the status of US...more
Artificial intelligence (AI) continues to revolutionize many industries, and the employment space is no exception. According to the Society for Human Resource Management (SHRM), almost one in four organizations utilize...more
Artificial intelligence (AI) continues to transform the world and the workplace. From facial-analytic tools that assess interviewees to bots that screen applicants, AI technology is gaining traction in many human resources...more
This week, we focus on compliance and transparency when using artificial intelligence (AI) tools in employment decision-making. The Future of AI Technology Regulations for Employers (see video below) Regulations and...more
The California Fair Employment and Housing Council (FEHC) recently took a major step towards regulating the use of artificial intelligence (AI) and machine learning (ML) in connection with employment decision-making. On March...more
New York City marked the end of 2021 by enacting a law that will make it challenging, if not infeasible, to use a broad swath of algorithmic, computerized tools to review, select, rank or eliminate candidates for employment...more
In today's episode, Mike Schmidt is joined by Kelly Trindel, Ph.D, of Pymetrics to talk about the use of artificial intelligence, machine learning, and data science in the employment recruitment process, and whether machines...more
More and more organizations are beginning to use or expand their use of artificial intelligence (AI) tools and services in the workplace. Despite AI’s proven potential for enhancing efficiency and decision-making, it has...more
Last year, Amazon scrapped its machine-learning algorithm because it discovered it had a major problem—the artificial intelligence didn’t like women. The machine-based learning tool was designed to analyze resumes and compare...more