To celebrate Data Privacy Day, we present our top ten data privacy and cybersecurity predictions for 2023 including increase in the number of lawsuits and OCR compliance reviews for medical information and regulation on the monitoring of and privacy protections for employees.
To celebrate Data Privacy Day, we present our top ten data privacy and cybersecurity predictions for 2023. 1. Healthcare and Medical Data Security and Tracking- The heal.
The California Fair Employment and Housing Council (FEHC) recently took a major step towards regulating the use of artificial intelligence (AI) and machine learning (ML) in connection.
Updated: 12:00 PM EDT May 5, 2021
Pennsylvania s Legislative Black Caucus and supporting Democratic lawmakers rallied Wednesday to introduce a package of bills aimed at addressing systemic equity across the state with one bill calling for Pennsylvania to declare racism as a public health crisis.
Other bills aim to battle racism in transportation, agriculture, and healthcare with much of the legislation also calling for bias training for employees. The legislative proposals suggest creating a nonpartisan joint legislative committee on equity.
It also calls for the state to tackle the issue of maternal mortality and to take a deeper look into algorithmic technology to ensure steps are taken to eliminate any harmful bias.
In 2020, a Reckoning for Law Enforcement and Tech Ethics
From worldwide protests to policy moves from technology giants like IBM and Amazon, the past year saw police use of tools like facial recognition and body cams come under scrutiny like never before. Shutterstock.com
Law enforcement technology in 2020 saw some innovation, acquisitions and announcements, but more than anything there was public scrutiny. As footage of a police officer killing an unarmed Black man in Minneapolis in May prompted global protests and news coverage, various communities started calling on everyone involved with police work, including tech companies, to reflect on their responsibilities. Ethical questions that some civil liberties groups had been asking for years hit the public consciousness with new urgency. For the tech industry, questions are about biased algorithms and historical data, and the potential abuses of tools such as facial recognition and artificial intelligence. Public at