Artificial Intelligence, Machine Learning and Robotics

The Oxford Dictionary defines AI as “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”

The U.S. federal government and several state governments are developing AI or digital strategies and action plans.  Canada was the first country to launch such a national AI strategy in 2017. The strategies and action plans highlight, among others things, the need to develop ethical and legal frameworks to ensure that AI is developed and applied based on the country’s values and fundamental rights.  Several other countries have established specific commissions to look into these issues. However, with the exception of the EU, no jurisdiction has yet published such specific ethical or legal frameworks for AI.  In December 2018, an expert group of the European Commission released draft AI ethics guidelines that set out a framework for designing trustworthy AI.  South Korea in 2008 enacted a general law on the “intelligent robot industry” that, among other things, authorized the government to enact and promulgate a charter on intelligent robot ethics. However, it appears that no such charter has yet been enacted.  The reason that this is important is that where the AI models and systems is developed may have an affect on how it is developed or how it can be used.

Ron's experience encompasses:

  • The regulation of machine learning-based models

  • Advising companies on how to adopt their business models to take advantage of machine learning or other types of artificial intelligence

  • Using genetic algorithms to solve problems in engineering and law

  • Determinating if an machine learning model has violated laws or ethical rules

  • Performing audits of machine learning systems to determine if the model is affected by privacy laws and/or intellectual property rights of others (also known as "AI-audits")

  • Protecting AI/ML products with intellectual property laws

  • Opining about the validity of, or the effectiveness of a machine learning-based system

  • Advising companies on the best use of AI to accomplish business goals

Ron is a frequent speaker on AI-related topics.  Here is a list of his most recent presentations:

Corporate | AI Personhood

This article was submitted for publication in the December, 2019 issue of "Circuits," the newsletter of the Computer & Technology Section of the Texas Bar.

AI and the Practice of Law

These are the slides to a panel discussion on AI and its affect on the practice of law. This presentation was made on April 10, 2019 in New Orleans, Louisiana.

Artificial Intelligence and Family Law

This paper was presented at the 44th Annual Advanced Family Law Course on August 13-16 in San Antonio, Texas. The presentation was made by Ms. Lisa Angelo and Mr. Mark Unger. The AI description and discussion was authored by Ronald Chichester

AI in the Field

This presentation was given at the first AI Symposium at Texas A&M School of Law on October 20, 2017 in Fort Worth, Texas. I was also on the panel at the end of the conference.

Distributed Autonomous Organizations

These are the slides from a presentation made to a joint meeting of the Houston-area chapters of the High Technology Crime Investigation Association (HTCIA) and InfraGuard Tech SIG on January 26, 2017. This presentation addressed cryptocurrencies, blockchains, smart contracts, smart property, distributed autonomous organizations, distributed autonomous corporations and jurisdiction over them.

Controls Over Artificial Agents

Presentation regarding business controls over software containing artificial intelligence. Presented to the Greater Houston Area Chapter of ISACA on September 17, 2015.