This group is a meetup for people interested in the intersection among robotics, artificial intelligence, and the law. It focuses on the latest trends in technologies such as autonomous driving, personal assistants such as Siri, personal and service robots, industrial robots, AI megasystems such as IBM's Watson, companies replicating the functionality of the human brain, and control systems for autonomous devices. The group supports the work of the Artificial Intelligence and Robotics Committee of the American Bar Association Section of Science & Technology Law and an interest group of the same name in the High Technology Law Section of the Santa Clara County Bar Association. These two groups comprise a diverse group of lawyers, industry experts, technologists, auditors and other professionals, whose focus includes the examination and analysis of legal, business, and technical aspects of robotics, artificial intelligence, and human collaboration with automated systems. This group is of particular interest to businesses developing, manufacturing, distributing, procuring, operating, and disposing of robots and companies developing and offering AI systems. Topics for discussion include product or service liability, compliance with safety, privacy, and security requirements in laws, response to accidents and data breaches, litigation arising from the foregoing, and managing the risk of these events. For more information about the Artificial Intelligence and Robotics Committee, see http://apps.americanbar.org/dch/committee.cfm?com=ST248008 The Santa Clara County Bar Association High Technology Law Section focuses on intellectual property, technology, and scientific aspects of law in the heart of the Silicon Valley.
Dear Members: For our February Meetup, we will be hearing from Attorney Paul Starrett. This Meetup is offered as a member benefit to Section members, although does not include CLE credits.
Our topic: When performing a data-driven investigation, we are most interested in summarizing data to find what is going on, to look for useful relationships and to identify outliers that require further review. Unstructured data makes this quest a seemingly unattainable one. We will discuss how a synergy between machine-learning tools found in information retrieval, natural-language processing and graph databases provide an efficient means to vital insights that would, otherwise, be lost.
Our speaker: Paul Starrett, EnCE, CFE, is an attorney and private investigator specializing in high-profile investigations. His consulting firm leverages data-science tools to analyze structured and unstructured data. His 25-year career includes roles as general counsel, chief risk officer and as an information-security software engineer. Paul holds a Master’s degree in Predictive Analytics from Northwestern University and a Master of Laws (LL.M.) in Taxation from Golden Gate University.
Here is a link to the Zoom videoconference link to participate. Once you click on the link, it will give you the option of viewing and listening to the program using your computer or dialing in to a phone number that the system will provide.
Join URL: https://zoom.us/j/273725961
Slides: Zoom allows you to see the slides during the program, but we will also distribute a pdf of the slides by download afterwards.
We hope you can attend this talk, and thank you for your interest.
• Important to know: Please leave a comment in the comment section if you plan on attending live so we can plan refreshments.