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Secure legally reviewed IC contracts, and keep invoice and vendor payment records to support the IC arrangement.; ;Consider the reasons for breach of contract.

Lay the Groundwork Early Wittmann recommended that HR, legal, compliance, cybersecurity and technical stakeholders put their heads together to evaluate the following areas: ;The handling and processing of biometric or behavioral data;; ;Transparent communication for employees interacting with AI-generated representations;; ;Discrimination, monitoring or psychological manipulation concerns; and,; ;Human oversight.; In addition: ;Review vendor contracts and intellectual property ownership, and be aware of data processing practices, cybersecurity regulations and the risks of transferring data across borders.; ;Ensure employees understand how their data is being used, and share with them if their interactions are being monitored or stored.; ;Consider the potential long-term impacts on workplace authenticity and trust when blurring the lines between corporate leaders and synthetic versions of them.; “There are legitimate business benefits when these systems are deployed responsibly

For example, employer or vendor communications can focus on avoiding the complications of unmanaged diabetes, including vision loss, nerve damage, heart disease and stroke.

“If companies, teams and professionals are adopting AI purely because it is a cool thing, there’s a lot of hype around it and the vendors told them it was great, then they’re just going to automate things and put AI in, and I would be uncertain about the success they’re going to have,” Eubanks said.

Action Items 🗹 Identify potential areas of concern based on the review process (e.g., data integrity, significant disparate impact, inconsistent human overrides). 🗹 Prioritize findings that pose the highest legal risk or risk to employee trust or equity goals. 🗹 Determine whether specialists (e.g., data scientists, legal guidance, AI vendor team) should be engaged to mitigate significant compliance issues. 🗹 Evaluate minor issues found and suggest remedies (e.g., improved data collection, additional user training). 🗹 Continuously monitor AI tool inputs and outputs for bias issues.

. ; ;Evaluate vendor partnerships by conducting analytic performance reviews, audits and marketing to identify the best financial optimal partners to meet objectives . ; ;Prioritize micro-strategies for the key cost drives balancing attraction and retention.

Not theoretical futures or vendor demos, but real examples of what they have tried, what has worked, what surprised them, and where they are still experimenting.

Employers can consider approaches such as concierge-type vendor solutions and lifestyle spending accounts, WTW’s Bade said.

Others faced geographical barriers — either because schools in their area didn’t offer the programs they wanted, or because there were no schools nearby.

The upside is that once you learn how to wrangle survey versions or build structures in one system, those muscles transfer to almost any other vendor.