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Value And AI Risk Sit At The Application Layer
Guru Sethupathy explores why AI risks—such as bias, misuse, and security failures—are rooted in the application layer. He emphasizes that robust AI governance and guardrails at the app level are critical to unlocking value while avoiding hidden AI pitfalls.
Where Is The Artificial Intelligence Regulations Landscape Going?
AI regulation is accelerating—from the EU AI Act to emerging U.S. enforcement. This article breaks down four key developments in 2025 that will shape how organizations govern, test, and deploy AI across high-risk and enterprise-wide use cases.
Leveraging AI Governance: Moving From Compliance Burden To Competitive Edge
Artificial intelligence governance is no longer just a safeguard. It’s how leading organizations reduce risk, accelerate adoption, and build trust—especially in high-stakes sectors like finance, healthcare, and HR where the cost of failure is high.
Workday Accused Of Bias In AI Resume Screening: As of May 16, 2025
🔄 As of May 16, 2025. When Workday is now facing a nationwide collective action lawsuit alleging that its AI-powered applicant screening tools discriminate against job seekers over the age of 40.
Talent Tech Labs Debuts AI Risk Suite with FairNow Partnership
Talent Tech Labs has launched a new AI governance offering to help HR and Talent leaders manage the risks of AI. In partnership with FairNow, the solution enables independent assessments of AI systems, supports regulatory compliance, and simplifies vendor reviews. The goal: ensure responsible AI use across the workforce tech ecosystem.
AI Usage Policy: Defining Employee Acceptable AI Use
In this executive’s guide, learn how to build an AI usage policy, pulling from templates and best practice examples to define acceptable use of AI for employees.