Many restaurants that do not like food delivery platforms delivering their food will have their concerns addressed by a new California law enacted on September 24, 2020. AB-2149, known as the Fair Food Delivery Act of 2020, prohibits food delivery platforms from arranging for the delivery of food delivery orders without the express authorization of the food facilities. Food delivery platforms will need to obtain agreements from any restaurants that they want to take…

One of the biggest obstacles self-driving cars have to get around is the one between our ears. Even as these vehicles are hitting the streets in pilot projects, three out of four Americans aren’t comfortable with the idea of their widespread use. Continue Reading →…

The sweeping use of facial recognition software across public and private sectors has raised alarm bells in communities of color, for good reason. The data that feed the software, the photographic technology in the software, the application of the software—all these factors work together against darker-skinned people. Continue Reading →…

As research continues to prove that AI is not an impartial arbiter of who’s who (or who’s what), various mechanisms are being devised to mitigate the collateral damage from facial recognition software. Continue Reading →…

We’ve previously touched on some of the issues caused by AI bias. We’ve described how facial recognition technology may result in discriminatory outcomes, and more recently, we’ve addressed a parade of “algorithmic horror shows” such as flash stock market crashes, failed photographic technology, and egregious law enforcement errors. As uses of AI technology burgeons, so, too, do the risks. In this post, we explore ways to allocate the risks caused by AI bias in contracts…

Say what you want about the digital ad you received today for the shoes you bought yesterday, but research shows that algorithms are a powerful tool in online retail and marketing. By some estimates, 80 percent of Netflix viewing hours and 33 percent of Amazon purchases are prompted by automated recommendations based on the consumer’s viewing or buying history. But algorithms may be even more powerful where they’re less visible—which is to say, everywhere else.…