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 between developers/licensors of the products and the customers purchasing the AI systems. Drafting a contract that incentivizes the AI provider to implement non-biased techniques may be a means to limit legal liability for AI bias.
Articles Posted in Artificial Intelligence
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 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. Between 2015 and 2019, the use of artificial intelligence technology by businesses grew by more than 270 percent, and that growth certainly isn’t limited to the private sector.
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 a user noticed that, when using a virtual background, Zoom kept cropping out his black coworker’s head. When he tweeted about this phenomenon, he then noticed that Twitter automatically cropped his side-by-side photo of him and his co-worker such that the co-worker was out of the frame and his (white) face was centered. After he posted, other users began performing their own tests, generally finding the same results.
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 and overall profit. Between 2015 and 2019, the adoption of AI technology by businesses grew more than 270 percent.
Artificial Intelligence, COVID-19 and the Tension between Privacy and Security
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 spread of COVID-19 infections. In December 2019, it was a website-leveraging AI technology that provided one of the key early warnings of an unknown form of pneumonia spreading in Wuhan, China. Soon after, information sharing among medical professionals followed as experts tried to understand the extent of the unfolding public health crisis. While humans eventually acted on these warnings, the early detection enabled through use of AI-supported data aggregation demonstrates both the promise and potential concerns associated with these systems.
Fighting Financial Wrong-Doing with the Power of AI
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 (ZeroFox) and Tim Mueller (GuideHouse) to discuss how AI is being integrated into RegTech solutions for enhanced AML compliance and screening, and how AI is being used to monitor insider trading, market manipulation and other suspicious market activities. In addition, they will identify best practices from law enforcement and financial institutions where AI is being successfully deployed to curb financial criminal activity.
News of Note for the Internet-Minded (11/12/19) – AI Biases, Deepfake Policies and Millions of Medical Records
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 …
A Risk-Averse Industry Continues Its Slow Embrace of AI
It’s difficult finding an industry that doesn’t stand to be transformed in some way by artificial intelligence. Yet no matter how gleaming the potential, some industries are naturally more cautious than others. In her latest post, “Artificial Intelligence: A Boon for Insurance Underwriting?”, Ashley E. Cowgill touches on the insurance industry’s reluctance while pointing to some areas where AI stands to be more quickly embraced.
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Patents, AI and the Challenge of Valuation
Be you a founder, would-be investor or acquirer, correctly valuing the intellectual property of a company is rarely a simple task, but it can be even more challenging when that IP involves artificial intelligence or machine learning. See what our colleague Josh Tucker has to say about the challenges and importance of protecting underlying IP on 7 Mile Advisors’ Deal Talk podcast, “How Patents, AI and Machine Learning Affect Value.”
Lawmakers (and Artists) Fight Those Facial Recognition Frown Lines
A sponsored post popped up on my Instagram last week that captured my obsession with statement jewelry and my periodic check on developments in facial recognition technology: “Artist Designs Metal Jewelry to Block Facial Recognition Software from Tracking You”. Statement jewelry? Check. An indication of how stressed out people are by facial recognition technology? I think so. While an experimental project, it’s not a far stretch to imagine the design actually being sold and purchased.