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Maybe it starts with “Did you hear …” whispers in the breakroom. Or perhaps it escalates as employees huddle over their smartphones, eager to check if the rumors are true — that one of their co-workers has a page on an online adult entertainment platform like OnlyFans. Regardless of how it starts, situations involving an employee’s voluntary online exposure rarely end well and can bring legal exposure for the employer. Besides dealing with the disruptive effect in the workplace, employers and HR professionals risk damage to a company’s reputation and being caught between a rock and a hard place: if you discipline the female employee with the OnlyFans side gig but not the male co-workers who discovered and shared it, you may be accused of engaging in disparate treatment, retaliation, or even of condoning sexual harassment and a hostile work environment. As sites like OnlyFans have exploded in popularity during the COVID-19 pandemic, one side effect has been the creation of a minefield for employers, HR professionals, and lawyers to navigate.
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AI Needs Its ‘Come the Jesus’ Moment
By Steve Salkin and Brett Burney
It’s time to stop the hype, stop talking up AI as if it’s the next best thing since sliced bread and prove that it’s a useful tool and technology that can actually be used in the actual practice of law.
U.S. Regulators Lift the Curtain on Data Practices with Assessment, Reporting and Audit Requirements
By Alan Friel, David Manek, Sasha Kiosse, David Farber and Colleen M. Yushchak
The assessment and audit requirements of the new generation of state data protection laws will force U.S. companies to move beyond mere window dressing and instead require them to develop fulsome data protection programs.
Artificial Intelligence Redefines Our Defense Against Cyber Threats
By Roy Hadley
The cybersecurity landscape is on the brink of a transformative shift, with predictive analytics and behavioral analysis leading the charge for more resilient and adaptive defenses.
Deep Fake of CFO on Videocall Used to Defraud Company of $25M
By Scott Warren
It appears that hackers are using AI to sift large digital data to identify more convincing approaches for their scams as well as weaknesses in weaknesses in software coding or network security.