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. The industry advocacy group that conducted the poll,…
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. Datasets are “dirty…
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. Legislation: Since 2019, several bills have been introduced in the House or Senate to address privacy issues and…
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…
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…
As we’ve discussed in this space previously, the effect of AI bias, especially in connection with facial recognition, is a growing problem. The most recent example—users discovered that the Twitter photo algorithm that automatically crops photos seemed to consistently crop out black faces and center white ones. It began when…
As the world grapples with the impacts of the COVID-19 pandemic, we have become increasingly reliant on artificial intelligence (AI) technology. Experts have used AI to test potential treatments, diagnose individuals, and analyze other public health impacts. Even before the pandemic, businesses were increasingly turning to AI to improve efficiency…
As the world continues to deal with the unprecedented challenges caused by the COVID-19 pandemic, Artificial Intelligence (AI) systems have emerged as a potentially formidable tool in detecting and predicting outbreaks. In fact, by some measures the technology has proven to be a step ahead of humans in tracking the…
We’ve discussed before the potential of AI to detect financial crimes like money laundering. On March 23, colleague Deborah Thoren-Peden will explore the growing nexus between artificial intelligence and the detection and prevention of financial misdeeds. In “Leveraging AI to Combat Financial Crimes,” Thoren-Peden will be joined by Sam Small…
Apple gets around to AR, the NHL enters esports, the Internet of Things may bring new meaning to “workers unite,” so many medical records, and more … The road of AI learning has plenty of potholes in the form of existing biases. (Cade Metz, The New York Times) Twitter announces…