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…
When Microsoft shared in 2018 that certain “deficiencies” surrounding its artificial intelligence practices could “subject[] us to competitive harm, legal liability, and brand or reputational harm,” it set the stage for other companies to self-report perceived risks associated with developing, using and producing AI technologies. Disclosing risks–a Securities and Exchange Commission (SEC) requirement imposed on public companies since 2005–raises a number of important considerations for both public as well as private companies, including transparency, accuracy,…
When Microsoft shared in 2018 that certain “deficiencies” surrounding its artificial intelligence practices could “subject[] us to competitive harm, legal liability, and brand or reputational harm,” it set the stage for other companies to self-report perceived risks associated with developing, using and producing AI technologies. Disclosing risks–a Securities and Exchange Commission (SEC) requirement imposed on public companies since 2005–raises a number of important considerations for both public as well as private companies, including transparency, accuracy,…
When Microsoft shared in 2018 that certain “deficiencies” surrounding its artificial intelligence practices could “subject[] us to competitive harm, legal liability, and brand or reputational harm,” it set the stage for other companies to self-report perceived risks associated with developing, using and producing AI technologies. Disclosing risks–a Securities and Exchange Commission (SEC) requirement imposed on public companies since 2005–raises a number of important considerations for both public as well as private companies, including transparency, accuracy,…
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…
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…
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…
Machine learning enthusiasts have long touted the technology’s ability to perform–and sometimes exceed–human mental endeavors, such as identifying objects in images, generating a portrait painting, deciding to grant a loan application, optimizing a route to a destination, and efficiently responding to website visitor or customer queries. In recent years, such computerized “mental processes” have been denied patent protection, a trend underscored by U.S. federal district and Federal Circuit patent decisions issued in the wake of…
Machine learning enthusiasts have long touted the technology’s ability to perform–and sometimes exceed–human mental endeavors, such as identifying objects in images, generating a portrait painting, deciding to grant a loan application, optimizing a route to a destination, and efficiently responding to website visitor or customer queries. In recent years, such computerized “mental processes” have been denied patent protection, a trend underscored by U.S. federal district and Federal Circuit patent decisions issued in the wake of…
Machine learning enthusiasts have long touted the technology’s ability to perform–and sometimes exceed–human mental endeavors, such as identifying objects in images, generating a portrait painting, deciding to grant a loan application, optimizing a route to a destination, and efficiently responding to website visitor or customer queries. In recent years, such computerized “mental processes” have been denied patent protection, a trend underscored by U.S. federal district and Federal Circuit patent decisions issued in the wake of…