Collin Starkweather

While GenAI is top of mind for many attorneys for use in their own work, its use by their expert witnesses has received relatively less attention. This program explored applications of GenAI in expert witness work based on the current state of the art and anticipated near-term development in the technology. A set of recommendations were then provided on best practices for the use of GenAI for expert witness work.

(Note that this and other speaking engagements, presentations and seminars… Show more

While GenAI is top of mind for many attorneys for use in their own work, its use by their expert witnesses has received relatively less attention. This program explored applications of GenAI in expert witness work based on the current state of the art and anticipated near-term development in the technology. A set of recommendations were then provided on best practices for the use of GenAI for expert witness work.

(Note that this and other speaking engagements, presentations and seminars are including among listed publications as LinkedIn does not provide a specific profile section for these activities.) Show less

Recent rapid advances in generative AI (Gen AI) technologies have captured the attention of the legal community as a wide range of legal professionals look to adapt their practices to an ever-changing legaltech landscape. These changes are also having a profound impact on the work carried out by expert witnesses who now must navigate and address a host of complex issues as a result of the emergence of GenAI.

This article explores some of the significant potential pitfalls confronting… Show more

Recent rapid advances in generative AI (Gen AI) technologies have captured the attention of the legal community as a wide range of legal professionals look to adapt their practices to an ever-changing legaltech landscape. These changes are also having a profound impact on the work carried out by expert witnesses who now must navigate and address a host of complex issues as a result of the emergence of GenAI.

This article explores some of the significant potential pitfalls confronting expert witnesses in an environment where GenAI tools have become ubiquitous. Potential applications of GenAI in expert witness work based on the current state of the art and anticipated near-term development in the technology are discussed, as well as some of the caveats that arise when applying GenAI in an expert witness setting. Finally, the piece provides a comprehensive set of practical recommendations for best practices when using GenAI for expert witness undertakings. Show less

This article discusses the state of the art in evaluation and benchmarking practices for GenAI with a focus on fairness and bias. It is intended to give compliance officers and other RAI practitioners a better understanding of these technologies so they can better understand the risks that they are seeking to mitigate and the degree to which mitigation might be expected to prove effective.

Served as technical reviewer for the book "Machine Learning for High-Risk Applications" by Patrick Hall and James Curtis, who I have had the great pleasure of working closely with on various AI/ML assignments, and Parul Pandey. In the words of Dr. Agus Sudjianto, who wrote the foreward, "In Machine Learning for High-Risk Applications, [the authors] have presented a framework for applying machine learning to high-stakes decision making. They provide compelling evidence through documented cases… Show more

Served as technical reviewer for the book "Machine Learning for High-Risk Applications" by Patrick Hall and James Curtis, who I have had the great pleasure of working closely with on various AI/ML assignments, and Parul Pandey. In the words of Dr. Agus Sudjianto, who wrote the foreward, "In Machine Learning for High-Risk Applications, [the authors] have presented a framework for applying machine learning to high-stakes decision making. They provide compelling evidence through documented cases of model failures and emerging regulations that hightlight the importance of strong governance and culture. ... The book covers important topics ranging across model transparency, governance, security, bias management, and more." (p. ix) Show less

Moderated a panel of experts on the legal and business impact of digital currencies at Law.com's General Counsel Midwest SuperConference.

This article discusses some important technical features of NFTs, including specific examples of conveyance associated with several prominent NFT sales. In the process, it highlights several important (but underappreciated) technical aspects of NFTs that inform the relationship between NFTs and IPR and ultimately the valuation of NFTs conveying “ownership” of assets.

Part one of this series focused on learning from past incidents; part two looks to the future. We put forward two broad types of AI/ML risks that have not been documented publicly in the financial services sector, and then discuss AI incident response as a regulatory gap and as a common sense mechanism for offsetting risk and liability stemming from AI incidents.

While technology provides organizations with immense benefits, it can also fail, suffer attacks, or be used for malicious purposes. In that respect, artificial intelligence (AI) and machine learning (ML) are no different from other forms of technology. In part one of this series, we examine two of the most high-profile AI incidents from the broader financial industry, with an eye to the prevention of future incidents.

In this "Strategic Perspectives" paper issued by Wolters Kluwer and highlighted in "Securities Regulation Daily," we explore the role of explainable and interpretable artificial intelligence and machine learning (AI and ML) in securities markets. We provide an overview of important recent developments in the field, discuss adoption of AI and ML techniques by securities market participants, and consider the implications of recent developments in explainable techniques for trading model design… Show more

In this "Strategic Perspectives" paper issued by Wolters Kluwer and highlighted in "Securities Regulation Daily," we explore the role of explainable and interpretable artificial intelligence and machine learning (AI and ML) in securities markets. We provide an overview of important recent developments in the field, discuss adoption of AI and ML techniques by securities market participants, and consider the implications of recent developments in explainable techniques for trading model design, risk management, and regulatory compliance, among other things.
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Presentation at the British Cultural Centre at the University of Shanghai for Science and Technology (上海理工大学) in Shanghai, China.

Presentation to the Guizhou Bar Association (贵州律师协会) in Guiyang, China.

Seminar at Stradley Ronon's "Investment Network In the Loop" seminar series.

Presentation at the British Cultural Centre at the University of Shanghai for Science and Technology (上海理工大学) in Shanghai, China.

Seminar at Stradley Ronon's "Investment Network In the Loop" seminar series.

Seminar at (and webcast by) the Chicago Bar Association Futures and Derivatives Law Committee.

This article discusses some of these implications of recent developments in artificial intelligence and machine learning on the question of intent in the context of “spoofing,” one of a variety of trading activities that securities market regulators consider illegal market manipulation.

Presentation at the British Cultural Centre at the University of Shanghai for Science and Technology (上海理工大学) in Shanghai, China.

I was honored to be invited to give the address at the commencement ceremony for the graduating class of 2018 of my alma mater, the Mathematics Department at the University of Colorado at Boulder.

In this article, the second of a two-part series, drivers of demand for traditional knowledge industry services associated with blockchain and smart contracts were discussed.

In this article, the first of a two-part series, a number of areas in which it is anticipated that virtual currencies will drive traditional knowledge industry services, including regulation and compliance, taxation, and other legal services as well as related accounting and financial services were discussed.

Presentation at the British Cultural Centre at the University of Shanghai for Science and Technology (上海理工大学) in Shanghai, China.

Seminar presentation at the invitation of Professor Daryl Lim of the Center for Intellectual Property, Information & Privacy Law at the John Marshall Law School in Chicago.

Presentation to the Economics Department at Shanghai Jiaotong University (上海交通大学) in Shanghai, China.

Assisted author Cao Heping with revising the English-language version of an article that he had previously published in Chinese. The article discusses the “Phase-II” growth behavior of multinational corporations in China and proposes regulatory options.

The double or even triple dividend hypothesis of green tax reforms has been a major issue of dispute in both the scientific community and the political arena during the last decade. Theoretical analysis has provided a number of important qualitative insights to the debate but lacks of actual policy relevance due to very restrictive assumptions. Applied research that takes the step from stylized analytical to complex numerical models usually comes as a black box to non-expert modelers. This… Show more

The double or even triple dividend hypothesis of green tax reforms has been a major issue of dispute in both the scientific community and the political arena during the last decade. Theoretical analysis has provided a number of important qualitative insights to the debate but lacks of actual policy relevance due to very restrictive assumptions. Applied research that takes the step from stylized analytical to complex numerical models usually comes as a black box to non-expert modelers. This paper aims at bridging the gap between stylized theoretical work and numerical analysis. We develop a flexible, interactive simulation model. Users can specify their own green tax reforms and evaluate the induced economic and environmental effects. Show less

Served as a technical assistant for a Computable General Equilibrium (CGE) modeling workshop conducted by Tom Rutherford, the creator of GAMS MPS/GE.

Discussed modeling tools for computable general equilibrium modeling and general numerical optimization problems and at the University of Münster in Münster, Germany.

Conducted a workshop to train staff at the Ministry of Business and Industry in Copenhagen, Denmark on modeling tools for computable general equilibrium (CGE) modeling and general numerical optimization problems.

Comprehensive user's guide and owner's manual for GAMS-X, a software platform I built to create a visual environment for online publishing of interactive mathematical models nested in HTML documentation. The concept was a precursor to the Jupyter notebook in Python.

Presentation on the implications of game-theoretic models of bounded rationality for the complexity of decision making, partitioning of decision spaces, and decision rules at the University of Colorado Cooperative Institute for Research in Environmental Sciences (CIRES) Colorado Center for Chaos and Complexity (C4) Summer Workshop on Modeling Complexity in Social Systems.