Title of talk: Contract-based Systems and Norm Emergence
Abstract: Mirroring the paper versions exchanged between businesses today, electronic contracts offer the possibility of dynamic, automatic creation and enforcement of restrictions and compulsions on agent behaviour that are designed to ensure business objectives are met. However, where there are many contracts within a particular application, it can be difﬁcult to determine whether the system can reliably fulﬁll them all; computer-parsable electronic contracts may allow such veriﬁcation to be automated. In this talk, I will illustrate some of these issues with aspects of the CONTRACT project, which developed frameworks, components and tools that make it possible to model, build, verify and monitor distributed electronic business systems on the basis of dynamically generated, cross-organisational contracts. I will describe a conceptual framework and architecture speciﬁcation in which normative business contracts can be electronically represented, verified. As a contrast, I will also consider other efforts that seek to have norms emerge directly from the interactions of individuals within a society.
Biography: Michael Luck is Professor of Computer Science and Dean of the Faculty of Natural and Mathematical Sciences at King’s College London, where he also works in the Agents and Intelligent Systems group, undertaking research into agent technologies and intelligent systems. He is Scientific Advisor to the Board for Aerogility. His work has sought to take a principled approach to the development of practical agent systems, and spans, among other areas, formal models for intelligent agents and multi-agent systems, norms and institutions, trust and reputation, application to bioinformatics and health, and deployment and technology forecasting. He was previously a director of the International Foundation for Autonomous Agents and Multi-Agent Systems (IFAAMAS), and was a member of the Executive Committee of AgentLink III, the European Network of Excellence for Agent-Based Computing, having previously been the Director of AgentLink II. He is an editorial board member of Autonomous Agents and Multi-Agent Systems, the International Journal of Agent-Oriented Software Engineering, Web Intelligence and Agent Systems, and ACM Transactions on Autonomous and Adaptive Systems, as well as for the SpringerBriefs in Intelligent Systems series. He was also general co-chair of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), held in Toronto, Canada in May 2010.
Jack G. Conrad
Title of talk: Artificial Intelligence and Law through the Lens of IAAIL – Past, Present and Future
Abstract: In this talk I will first trace perspectives on AI and Law as conveyed by past IAAIL presidents in their own talks at ICAIL, underscoring the insights that they have shared that remain relevant today. I will then examine two related questions tied to the role of our Association in the advancement of Artificial Intelligence and Law. One, what are the kinds of challenges in AI and Law that IAAIL and its members are particularly well disposed to address? And, two, of these challenges, which would be difficult to address without the added resources of a large enterprise such as a legal publisher or technology company? Next, I will review recent developments in the field of legal applications and services that encourage us to reassess the ways in which we have traditionally approached AI and Law-related problems. In conclusion, I will discuss the kinds of concrete measures we as a community can take in order to make a greater impact on the essential activities of legal practitioners — lawyers, judges, government officials and associated professionals.
Biography: Jack Conrad is a Lead Research Scientist with Thomson Reuters’ Corporate Research & Development Department. His areas of expertise include Information Retrieval, NLP, Data Mining, Machine Learning and Clustering. He holds graduate degrees in Computer Science from the University of Massachusetts-Amherst and in Linguistics from the University of British Columbia in Vancouver. For more than 20 years, he has applied himself to the fields of Artificial Intelligence and Law and Computer Science, while working on a rich spectrum of project and product-related applications that have delivered state-of-the-art capabilities to tools such as WestlawNext, PeopleMap and KeyCite. Jack has published dozens of research papers in journals and conference proceedings including ACM-TOIS, VLDB, SIGIR, CIKM, JASIST and the journal Artificial Intelligence and Law. He is also the inventor on a number of U.S. and European patents. He is currently based in Minneapolis, Minnesota, USA, having recently returned from a two-year assignment with Thomson Reuters’ Catalyst Lab near Zurich, Switzerland.
Title of talk: Officer, Arrest that Robot!
Abstract: Humans have rights, animals have rights, corporations have rights … but what about artificially intelligent systems? Sound ridiculous? It makes perfect sense to accord sufficiently capable AI systems rights and responsibilities, in order to control their use and ensure that they respect society’s norms. For instance, such “Artificial Persons” should pass the bar before offering legal advice; self-driving cars should pass road tests to be licensed for street use; autonomous soldiers should adhere to international warfare conventions; robotic hairstylists should take cosmetology exams. We need to prepare for the novel challenges artificially intelligent systems will pose to our legal, economic, and civil systems. This talk explores how an AI system can be a principal or agent under the law, be held criminally liable, and be punished. It also strikes a note of caution, arguing that permitting AI systems to own assets could present a serious threat to society, potentially ruining our economy.
Biography: Jerry Kaplan is widely known in the computer industry as a serial entrepreneur, technical innovator, bestselling author, and futurist. He co-founded four Silicon Valley startups, two of which became publicly traded companies. His non-fiction novel “Startup: A Silicon Valley Adventure” was named one of the top ten business books by Business Week.
Kaplan holds a Ph.D. in Computer Science, and is currently a Fellow at The Stanford Center for Legal Informatics. He also teaches Philosophy, Ethics, and Impact of Artificial Intelligence in the Computer Science Department, Stanford University.
His latest book, “Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence” is slated for release this summer by Yale University Press, and is available for preorder at Amazon.
Title of talk: Toward Fully Automated Driving
Abstract: Advanced driver assistance systems already help drivers reach their destinations safely and more comfortably. Future systems will evolve from driver assistance to highly automated vehicles to fully automated driving. We outline our roadmap for future automated vehicles, assess the key challenges for introduction, and give an overview of the major algorithmic components. In this talk, we will motivate the difficult problems that occur in detecting, classifying, and interacting with traffic participants, and outline how these challenges are solved. Furthermore, we will describe how the automated vehicle drives in traffic, e.g., how the automated vehicle obeys traffic rules, as well as the planning and decision making framework of our vehicle: route planning, which is responsible for turn-by-turn directions from start to goal; decision making, which is responsible for deciding during execution which maneuvers allow the vehicle to follow the planned route; and motion planning, which is responsible for translating the decided maneuver into an actionable motion plan.
Biography: Jan Becker is director at Robert Bosch LLC and responsible for Engineering Automated Driving in the Chassis Systems Control division. Prior to this position, Jan was a senior manager and principal engineer at the Bosch Research and Technology Center in Palo Alto. He also served as a senior research engineer for Corporate Research at Robert Bosch GmbH.
Jan Becker is appointed lecturer at Stanford University since 2010. Previously, he was a visiting scholar at the University’s Artificial Intelligence Lab and a member of the Stanford Racing Team for the 2007 DARPA Urban Challenge. He is an inventor who is listed on more than 30 patents and patent applications, and an author of various publications and papers covering autonomous systems, robotics, driver assistance, and automated driving.
A senior member of the Institute of Electrical and Electronics Engineers (IEEE), Jan belongs to the organization’s Control Systems Society, Intelligent Transportation Systems Society, and Robotics and Automation Society. He is on the Board of Governors of IEEE’s Intelligent Transportation Systems Society since 2014. He served on the board of directors and as treasurer of Silicon Valley Robotics from 2012-2014.
Jan earned a Ph.D. in control engineering from the Technical University of Braunschweig, Germany, a master’s degree in mechanical and aerospace engineering from the State University of New York at Buffalo and a master’s degree in electrical engineering from the Technical University of Darmstadt, Germany.
For more information about Bosch, please visit www.bosch.com and www.bosch.us. For more information about Automated Driving at Bosch, please visit www.automated-driving.com. For more information about the Bosch Research and Technology Center North America, please visit www.boschresearch.com. Robert Bosch LLC is a subsidiary of the Bosch Group, a leading global supplier of automotive and industrial technology, consumer goods and building technology.