Interactive online platforms have become an integral part of our daily lives. While user-generated content, free from traditional editorial constraints, has spurred vibrant online communications, improved business processes and expanded access to information, it has also raised complex questions regarding how to moderate harmful online content. As the volume of…
Articles Posted in Algorithms
Realized Potential: When Algorithms Are Used for Good
While we’ve devoted ample time to discussing areas of potential concern regarding the application of algorithms—and algorithm bias in particular—it’s also a good time to remember algorithmic technology is poised to make our lives better, often in ways we’ll never know about. Foiling Faux Pharma Researchers at Penn State are…
Driving Questions, Human Error and Growth Industries for Machine Learning
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,…
“Dirty by Nature” Data Sets: Facial Recognition Technology Raises Concerns
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…
About Face: Algorithm Bias and Damage Control
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…
How Can Customers Address AI Bias in Contracts with AI Providers?
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…
Retooling AI: Algorithm Bias and the Struggle to Do No Harm
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…
Facial Recognition, Racial Recognition and the Clear and Present Issues with AI Bias
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…
Digitalized Discrimination: COVID-19 and the Impact of Bias in Artificial Intelligence
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…
Protecting Elections: Regulating Deepfakes in Politics
The 2020 election will be unprecedented in many respects. More people will be voting by mail, and there will likely be more democratic participation online than ever before. Internet platforms and communication services will become more influential forums as people are restricted from in-person conventions and debates. But even before…