Technology Law Summer Webinar Series: Legal Standards for Algorithmic Decision-Making Systems: One Experience

Date: Wednesday, July 19th, 2 – 2:45 pm EST


Discussion Description:

Learn about how legal education can adapt to address the ethical complexities of integrating technology into legal functions, so that a new generation of legal professionals will be better equipped to create legal standards and navigate the challenges posed by algorithmic decision-making. Presenters will share and discuss an experiential learning model in which students, guided by the Trustworthy and Responsible AI guidelines from the NIST, confronted the challenges of creating legal standards for algorithmic decision-making systems in both public and private sectors.

Watch the Recording Here


Erin Henslee, Assistant Professor at Wake Forest University

Research: The electrophysiologic properties of cells, measured through lab-on-a-chip assays , can be used to delineate how these properties relate to disease, drug resistance, circadian biology and cell patterning. I strive to find ways for engineering applications to complement, improve upon, or give new insights to existing lab-based measurement tools.

Additionally I am interested in the areas of sustainable practice of lab-based research, e-sport science, PhD and early career researcher development, and public engagement with research.

Education: PhD,  Biomedical Engineering (University of Surrey, UK)

Grad Cert., Learning and Teaching in Higher Education (University of Surrey, UK)

MSc, Biomedical Engineering (Virginia Tech-Wake Forest, US)

BSc, Engineering Science & Mechanics (Virginia Tech, US)

BSc, Mathematics (Virginia Tech, US)


Raina Haque, Professor of Practice at The Wake Forest University School of Law

Raina Haque, J.D. is a Professor of Practice in Technology at Wake Forest University School of Law. She specializes in computational law and emerging technologies. As the founder and lead attorney at Erdős Intellectual Property Law + Startup Legal, she offers her expertise as an intellectual property attorney and patent attorney registered with the United States Patent and Trademark Office. She’s interviewed by the Wall Street Journal, published with the Stanford Journal of Blockchain Journal of Law and Policy, and advisor to the MIT Computational Law Journal.

Before entering the legal profession, Raina worked as a fintech business analyst and software engineer at a prominent Wall Street financial firm in New York City. There, she focused on clearance, trade, and settlement, as well as global portfolio technologies. She also served as a research fellow at the National Institutes of Environmental Health Sciences, working in the Neurotoxicology and Nuclear Magnetic Resonance labs on artificial deep neural network applications.

As one of the first patent attorneys to explore the blockchain technology space, Raina has authored numerous articles providing guidance on IP-related issues. She is regularly invited to train attorneys in the blockchain field at law schools and professional lecture series in New York City and Silicon Valley. In addition, she is a significant contributor to the North Carolina Bar Association’s annual Future of the Law report on blockchain technologies and offers advice to various regulatory bodies regarding emerging technologies.

Raina’s courses encompass advances in artificial intelligence, neurotechnology, online court systems, and data analytics, and digital fabrication. As an expert in emerging technologies, she actively participates in the development of soft law that will inform future hard law. Passionate about the interdisciplinary role of the next generation of jurists in the growing field of emergent technologies and entrepreneurship, Raina is one of the few professors in the law academy with a technical background in deep neural networks and computer vision systems.