Law Commons^™

Medical Ai And Contextual Bias, W. Nicholson Price Ii

Articles

Artificial intelligence will transform medicine. One particularly attractive possibility is the democratization of medical expertise. If black-box medical algorithms can be trained to match the performance of high-level human experts — to identify malignancies as well as trained radiologists, to diagnose diabetic retinopathy as well as board-certified ophthalmologists, or to recommend tumor-specific courses of treatment as well as top-ranked oncologists — then those algorithms could be deployed in medical settings where human experts are not available, and patients could benefit. But there is a problem with this vision. Privacy law, malpractice, insurance reimbursement, and FDA approval standards all encourage developers …

Digital Colonialism: The 21st Century Scramble For Africa Through The Extraction And Control Of User Data And The Limitations Of Data Protection Laws, Danielle Coleman

Michigan Journal of Race and Law

As Western technology companies increasingly rely on user data globally, extensive data protection laws and regulations emerged to ensure ethical use of that data. These same protections, however, do not exist uniformly in the resource-rich, infrastructure-poor African countries, where Western tech seeks to establish its presence. These conditions provide an ideal landscape for digital colonialism.

Digital colonialism refers to a modern-day “Scramble for Africa” where largescale tech companies extract, analyze, and own user data for profit and market influence with nominal benefit to the data source. Under the guise of altruism, large scale tech companies can use their power and …

Title 2.0: Discrimination Law In A Data-Driven Society, Bryan Casey

Journal of Law and Mobility

More than a quarter century after civil rights activists pioneered America’s first ridesharing network, the connections between transportation, innovation, and discrimination are again on full display. Industry leaders such as Uber, Amazon, and Waze have garnered widespread acclaim for successfully combatting stubbornly persistent barriers to transportation. But alongside this well-deserved praise has come a new set of concerns. Indeed, a growing number of studies have uncovered troubling racial disparities in wait times, ride cancellation rates, and service availability in companies including Uber, Lyft, Task Rabbit, Grubhub, and Amazon Delivery.

Surveying the methodologies employed by these studies reveals a subtle, but …