Do people in your unit need training on meeting HIPAA requirements for working with Protected Health Information (PHI)? A new eLearning course in My LINC covers how to appropriately handle PHI in accordance with the Health Insurance Portability and Accountability Act (HIPAA). HIPAA provides privacy and security rules that govern how PHI is collected, disclosed, and secured. For… Read More »
At the June 2021 Arizona State University (ASU) Digital Trust Summit, Svetla Sytch, ITS assistant director of privacy and IT policy, and Julia Silverman, an ITS intern fellow, shared the efforts U-M has taken to engage with the U-M community, and students in particular, in conversations about privacy. They outlined three initiatives that highlight the values of being open and honest, creating simple visual and multimedia materials, and working with students.
If you are changing jobs, retiring, or leaving U-M, move any files needed for university business somewhere that your colleagues can access and set appropriate permissions. This includes files on your computer; files in Google at U-M, Dropbox at U-M, and other online storage; and MCommunity groups. Use shared storage space when you can It is best to… Read More »
People are rightfully suspicious of unsolicited email, but that can sometimes cause them to ignore or delete your legitimate university communications. In order to not appear phishy, focus on helping recipients verify the legitimacy of your U-M emails so they know they are safe to open. Tips are available on the Safe Computing website.
Have you ever seen a pop-up on your computer or received an unsolicited call urging you to contact “tech support?” Scammers sometimes impersonate IT support staff and claim something is wrong with your computer. They offer to help fix the problem—for a fee—but instead may steal your personal information or infect your computer with malicious software. This can… Read More »
As U-M employees and community members, we all share in the responsibility to help protect U-M IT systems and data. But how do you do that? ITS Information Assurance has developed a Safe Computing Curriculum that offers IT security and privacy/confidentiality best practices to help safeguard the university’s digital assets.
IT security is a shared responsibility and we all need to do our part. Check out this new video to learn about your shared responsibility to protect U-M computing resources and data: IT Security—Our Shared Responsibility (2:07) As part of the U-M community, you’re provided with access to a wide variety of computing resources—and sometimes to very sensitive… Read More »
A panel of U-M experts discussed the film “Coded Bias” at a Dissonance Event on April 15. “Coded Bias” follows the journey of Joy Buolamwini, a computer scientist and digital activist based at the MIT Media Lab, as she worked with others to push for the first legislation in the U.S. to govern against bias in artificial intelligence (AI) algorithms. The Dissonance organizing committee brought the panelists together for an online discussion of bias in AI, transformative opportunities for its use, and more.
IT security is a shared responsibility and a never-ending journey of incremental improvement, but some improvements are larger and come faster than others. In October 2020, ITS announced that Enhanced Endpoint Protection powered by CrowdStrike Falcon would be rolled out to university-owned computers (desktops, laptops, and servers). About six months later, as of early March 2021, Falcon has… Read More »
If you encounter an actual or suspected IT security incident, it is vital that you report it as soon as possible so that work can begin to investigate and resolve it. This applies whether you are working from home or on campus. Take a minute to watch the ITS Information Assurance (IA) video: How to Report an IT… Read More »
You are invited to a free, on-demand screening of the documentary film Coded Bias—available anytime from April 8 to 14 and a panel discussion of the film April 15. Coded Bias explores the fallout from an MIT Media Lab researcher’s discovery that facial recognition does not identify dark-skinned faces and women’s faces accurately. The film follows her journey to push for the first legislation in the U.S. to govern against bias in the algorithms.