News and Analysis of Artificial Intelligence Technology Legal Issues
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Eliminating Structural Bias in Data-Based Technologies: A Path Forward

As national protests over systemic and structural racism in America continue, community organizers, Black scholars, and others fighting injustice and unequal treatment are once again raising awareness of a long-standing problem lurking within artificial intelligence data-based technologies: bias. The campaign to root out bias–or eliminate biased systems altogether–has been amplified in recent weeks in the wake of reports of a black Michigan man who was apparently arrested solely on the misidentification decision of a facial recognition system used by law enforcement.  Criminal charges against the man were dropped by police only after they discovered their error, but by then the…

EU’s New Plan for Regulating Artificial Intelligence: What US Companies Should Know

On February 19, 2020, the European Union Commission issued a plan for regulating high-risk artificial intelligence (AI) technologies developed or deployed in the EU. Calling it a “White Paper on Artificial Intelligence: a European Approach to Excellence and Trust,” the plan was published along with a companion “European Strategy for Data” and follows an earlier “AI Strategy” (2018) and AI-specific ethical guidelines (April 2019). In addition to presenting a framework for regulating “AI applications” in the EU, the Commission’s plan focuses on creating and organizing an ecosystem, encouraging cooperation among member states and institutions, creating infrastructure changes, and providing for…

First They Wanted Data, Now Cyber Thieves Are After Deep Learning Models: Legal Response Options

Imagine you’ve spent months developing and deploying a revenue-generating deep neural network model only to discover that an attacker has stolen the model’s knowledge and will soon offer a service that will steer potential users away from yours.  Flashes of late nights and weekends spent collecting and cleaning data cross your mind, accompanied by a sinking feeling when you think about the significant monetary investment made in computation power.  The joy you felt finding just the right hyperparameters that made the model unique and, you hoped, lucrative are now in the past.  After second-guessing what technical measures could have prevented…

When It’s Your Data But Another’s Stack, Who Owns The Trained AI Model?

Cloud-based machine learning algorithms, made available as a service, have opened up the world of artificial intelligence to companies without the resources to organically develop their own AI models. Tech companies that provide these services promise to help companies extract insights from the company’s unique customer, employee, product, business process, and other data, and to use those insights to improve decisions, recommendations, and predictions without the company having an army of data scientists and full stack developers. Simply open an account, provide data to the service’s algorithms, train and test an algorithm, and then incorporate the final model into the…

Evaluating and Valuing an AI Business: Don’t Forget the IP

After record-breaking funding and deals involving artificial intelligence startups in 2017, it may be tempting to invest in the next AI business or business idea without a close look beyond a company’s data, products, user-base, and talent. Indeed, big tech companies seem willing to acquire, and investors seem happy to invest in, AI startups even before the founders have built anything. Defensible business valuations, however, involve many more factors, all of which need careful consideration during early planning of a new AI business or investing in one. One factor that should never be overlooked is a company’s actual or potential…