Over the last few years, employers adjusted to an expanding patchwork of pay transparency laws requiring salary ranges in job postings. Now, lawmakers are moving beyond requiring compensation disclosures and into the next phase of hiring transparency regulation: “ghost jobs” and artificial intelligence disclosures.Continue Reading ›
FTC Begins Enforcement of the TAKE IT DOWN Act: New Risks and Tools for Businesses
Quick Hits
- Businesses operating websites, online services, or applications primarily providing a forum for user-generated content may qualify as “covered platforms” subject to the TAKE IT DOWN Act’s notice-and-takedown requirements.
- The act’s platform obligations can carry significant civil fines of up to $53,088 per violation.
- Even employers that are not covered platforms may want to
Is a CCPA Risk Assessment Required When Using Productivity Management and Monitoring Platforms?
Key Takeaways
- Outlines key considerations for businesses using productivity management and monitoring platforms – such as, Teramind, ActivTrak, and Insightful – and whether their use may require a CCPA risk assessment.
- Identifies the specific CCPA risk assessment triggers most relevant to such productivity technologies.
Productivity management and monitoring platforms have become a fixture of the
Colorado’s New AI Act Targets Automated Decision-Making for Consequential Decisions
Quick Hits
- On May 14, 2026, Colorado Governor Polis signed Senate Bill 26-189, which repeals and replaces the 2024 Colorado AI Act.
- The new law removes the 2024 act’s duty of care, risk management program, and impact assessment requirements in favor of a pre-use notice, a post-adverse-outcome disclosure, and a limited set of consumer rights
Governor Newsom Signs Executive Order Requiring New Oversight on AI’s Impact on the Workplace
On May 21, 2026 Governor Newsom signed Executive Order N-6-26 (“EO N-6-26”) which will require state agencies to research and propose certain policies and measures to mitigate the negative impact of AI on California workers.
Colorado’s AI Law Gets Major Rewrite – What Now For Employers?
Quick Hit
Colorado’s landmark artificial intelligence law, previously covered here, has been replaced before it ever took effect. After years of concern over the implications of Colorado’s Anti-Discrimination in AI Law (the “CO AI Law”), which was set to take effect on June 30, the Governor of Colorado on May 14, 2026 signed into
Working from home or hardly working? When WFH corner-cutting becomes misconduct
The Fair Work Commission (FWC, or Commission) recently confirmed that an employee who falsified timesheets while working from home was not unfairly dismissed in Mr Neeraj Kumar v Hansen Corporation Pty Ltd [2026] FWC 519. The decision highlights the importance of remote-work accountability, appropriate workplace monitoring and procedural fairness.
The Facts
The applicant was employed
Five Reasons Every California Employer Needs an AI Policy
Artificial intelligence has quietly become part of how work gets done. Employees are using it to draft emails, summarize documents, build spreadsheets, and answer customer questions — often without anyone in management deciding that should happen. For employers, the question is no longer whether AI is in the workplace. It is whether it is being
Is a CCPA Risk Assessment Required When Recording Customer Calls?
Key Takeaways
- Analyzes whether recording customer service and sales calls triggers the CCPA’s new risk assessment requirements.
- Identifies the specific CCPA triggers most relevant to call recording, particularly when AI analytics are applied to recordings.
- Notes related obligations under state wiretapping laws and other state privacy frameworks.
Recording customer calls is among the most common
The Right Time for Bias and Validation Testing for AI is Now
Employers are increasingly using artificial intelligence and other algorithmic tools to support workplace decisions, including recruiting, screening, interviewing, promotion, workforce planning, and performance management. These tools can improve efficiency and consistency, but they also introduce important compliance, reputational, and employee-relations considerations. Two concepts that often arise in AI governance are bias audits and validation testing.