Show Notes
Employers and employees – how much privacy is there in the workplace? Episode 130 explores this question in the United States. What’s an employee’s reasonable expectation of privacy while working? How do federal and state laws limit employer surveillance of employee activity? What limits are there to an employer’s monitoring of employee use of company time and property? Employees use company-provided computers, phones, and other property for a variety of personal purposes, often injecting personal information through a company’s IT system. What should employers and employees do about this? And what about departing and former employees – to what extent can or should an employer monitor a departing employee’s data streams or keep a former employee’s personal information? Annee Duprey, a partner in the Labor & Employment Group of Frost Brown Todd LLP in its Columbus office, and Seth Granda, a senior associate in the firm’s Nashville, Tennessee office, tour this complicated and challenging terrain and offer top tips to both employers and employees. Time stamps: 01:20 — What is a reasonable expectation for employee privacy in the US workplace? 08:18 — Are there limits to what kind of monitoring employers can conduct on their employees? 14:35 — What limitations are there for employees on what they can do with company-provided devices? 20:15 — Top tips for employees and employers?
More from Frost Brown Todd Podcast
Episode 155 considers three important developments as 2024 opens:
Why do businesses create cookies for their websites – and what choices can visitors make when a popup asks us to choose? Can chatbots write privacy policies for businesses? How can we determine if a website shares personal information we provide to it – and if so, for what purposes?
When we visit websites, we increasingly see popups. Why is this? How does consent affect online advertising? And what’s changing in 2024?
Data clutter – we keep our homes tidy, at least some of us do. But what about digital data? It accumulates and grows over time. Unlike hard copy files, which can be pitched or sent to long-term (expensive) storage, data is silent and unobservable (except perhaps to IT personnel). Explore how organizations amass vast amounts of data containing personal information, some highly sensitive. There it resides, posing serious risks to organizations and individuals.
Major data privacy news from November - the meaning beneath the headlines: California issues proposed rules on ADTs – Automated Decision-making Technology. Applying California’s principal data privacy statute, the California Privacy Protection Agency proposes opt-out requirements, pre-use notices, and other measures for AI and related organizations. A New Landmark for Consumer Control Over their Personal Information: CPPA Proposes Regulatory Framework for Automated Decisionmaking Technology (ca.gov). The TSA is using biometrics at U.S. airports with little notice or disclosure. Some U.S. Senators have called “time-out.” What’s going on with biometrics at airports? BUR23A41 (senate.gov). The influential Data & Trust Alliance proposes eight cross-border Data Provenance Standards. Learn how international standards are being set by the private sector to increase transparency, reliability, and use of datasets essential for AI. Will data become labeled and tracked like food and art? How does private standard setting lay the groundwork for privacy conscious laws and regulations? Consider the immediate opportunity to provide your comments about AI and personal data privacy. The Data & Trust Alliance (dataandtrustalliance.org). Tune in to Episode 151 for analysis, as the world of data privacy spins toward 2024.