Machine Learning and Human Values: Can They Be Reconciled?

Above the Law explores the conversation at the recent Global Privacy Summit regarding the increasing need for ethical guidance as machine learning technology advances. Perspectives raised in this discussion include those of the Software and Information Industry Association (SIAA), through SVP Mark McCarthy, which has released a set of ethical principles for artificial intelligence and data analytics. McCarthy explains that AI must be developed to reflect basic ethical principles, such as fairness, transparency and that the technology must be accessible to all, without reinforcing existing inequalities. In addition to SIAA’s proposed framework, other organizations, notably the IEEE and NIST are exploring the appropriate ethical standards to achieve “ethically aligned design” in autonomous and intelligent systems. This story has just begun.

This AI Can Automatically Animate New Flintstones Cartoons

Noting that “The Flintstones, a cartoon about life in the Stone Age, has just surpassed The Jetsons, a cartoon about life in the distant future, when it comes to technological innovation” Gizmodo reports on an initiative where researchers have successfully trained AI to generate new clips of the cartoon. Lead by research scientists at the Allen Institute for AI and the University of Illinois Urbana Champaign, the team developed a process of feeding the AI algorithm roughly 25,000 video clips with extensive annotations and descriptions, which the AI then used to generate new content. Notably, DWT AI bloggers Jim Rosenfeld and Cydney Freeman recently explored the legal issues associated with AI generated content in this recent blog.

Artificial Intelligence Coming To Life In Financial Advice

Investment News explores how AI may shape, and fundamentally alter, how financial advisors advise and serve their clients. From the use of AI to detect and identify system anomalies that may indicate fraud, cybersecurity or a violation of trading rules, to the use of algorithms to trade ETFs, the article outlines many current applications. The article also explores how some firms are machine learning to analyze “adviser-client interactions each night to determine which will be most beneficial.” DWT AI blogger Robin Nunn recently explored some of those issues in her recent post on discrimination and algorithms in financial services. Read more about these issues at DWT’s AI blog: the AI law advisor.