Artificial Intelligence: A Framework for Legal Understanding
To enrich participants’ experience in the Artificial Intelligence and the Law Symposium, Professor Loza de Siles offers a cornerstone lecture and discussion in three parts toward understanding artificial intelligence (“AI”) and framing conceptions about AI in the law. First, she introduces key AI technical terms and map those to legal terms of art and constructions. (citation omitted). Second, Professor Loza de Siles presents two legal taxonomies by which to categorize AI types and uses and then sketches out some of the legal implications associated with these distinctions. Third, she offers a holistic taxonomy of AI system and use that is informed by concepts in systems and process engineering and product marketing. Using this conceptualization, Professor Loza de Siles suggests that AI becomes a process to be deconstructed, comprehended, and framed for legal analysis and doctrine and policy development.
Man, Machine, and Money: At the Crossroads of AI, Data Privacy, and Consumer Protection
Artificial Intelligence is rapidly being adopted by businesses, firms, the financial sector, and other institutions that touch consumer’s everyday lives. AI brings with it the hope of more efficient markets, better consumer accessibility, and more accurate decision-making. However, AI is only as perfect as its creator, leaving it vulnerable to humankind’s foibles. This creates potential to exacerbate already existing biases, errors in judgment, and heuristic thinking. These issues can leave consumers gravely mischaracterized or injured without access to recourse. Accordingly, this panel aims to discuss the benefits, pitfalls, and insights about the intersection of AI and consumers’ legal rights.
Artificial Intelligence and Public Interest
Bringing together legal scholars in public interest, legal ethics, and access to justice, this panel session is dedicated to the discussion of how artificial intelligence currently impacts attorneys and legal scholars that work to eliminate bias and improve access to the most vulnerable of clients. This panel aims to advance the dialogue on policy, practice, and the future in how artificial intelligence may assist, or hinder, those that seek equal justice for all. Specifically, panelists will discuss their latest scholarship, including artificial intelligence advancements and machine learning in criminal law proceedings, the benefits and concerns that AI brings to those seeking legal services, and how the development of a conscious AI world impacts the way we see ourselves. Above all, this panel provides an opportunity to think together about how artificial intelligence can be used as a tool, not a weapon, in reducing inequality and clearing the path to justice and access for all.
Dean Alderucci, Featured Speaker
Artificial Intelligence is assuming a prominent role in intellectual property law and practice. AI can be used to facilitate the various types of legal work performed by attorneys and the world’s IP offices, such as patents and trademark searching and assisting in the analysis of patentability issues. AI also presents many novel IP issues that have yet to be resolved. For example, it can be difficult to apply conventional doctrines to AI that creates patentable inventions or copyrightable works. We also must grapple with the appropriate scope of IP protection for text, images, and other data that AI uses either as training data or as raw material for creating derivative works.
AI and Intellectual Property
As Artificial Intelligence (AI) and Machine Learning continue to advance, AI is slowly finding uses in the legal field. Specifically, there has been a major push for AI to play a more prominent role with regards to Intellectual Property. This panel will examine the growth of AI, current problems in the legal field of Intellectual Property, and how AI can be applied to those problems to create a more consistent and less subjective form of legal analysis. This panel will also discuss the hurdles facing the future of AI in the legal field of Intellectual Property and how the average IP lawyer can better utilize AI when tackling legal issues.
Data as Power
A single datum in isolation reveals relatively little about issues big and small. However, in aggregate, data can be an incredibly powerful tool of problem-solving, issue spotting, and even prediction. Data has the power to improve our classrooms, country, and world. But, with this power comes a scalable risk that the power with being misdirected or even abused. This panel will discuss the wide applications of computer-generated data, artificial intelligence, and legislative and regulatory oversight and other ethical duties to keep this power in check.
Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law
Western societies are marked by diverse and extensive biases and inequality that are unavoidably embedded in the data used to train machine learning. Algorithms trained on biased data will, without intervention, produce biased outcomes and increase the inequality experienced by historically disadvantaged groups. Recognising this problem, much work has emerged in recent years to test for bias in machine learning and AI systems using various bias metrics. In this paper we assessed the compatibility of technical fairness metrics and tests used in machine learning against the aims and purpose of EU non-discrimination law. We provide concrete recommendations including a user-friendly checklist for choosing the most appropriate fairness metric for uses of machine learning under EU non-discrimination law.
Artificial Intelligence and Social Media
Social media, like many technologies powered by AI, has both promise and peril. This panel will discuss legal issues related to social media, including First Amendment issues, user privacy, and the now notorious Section 230 of the Communications Decency Act. Panelists will also discuss social media’s use of technology like facial recognition and powerful recommender systems algorithms that impact what users see in their feeds.
Legal Ethics and Artificial Intelligence
AAs AI more frequently takes on important tasks in legal practice, attorneys must engage in a dialogue about the ethical obligations surrounding the use of AI. Swift changes concerning the use of AI in legal practice are expected in the coming years, thus it is necessary to address the ethical challenges presented by AI just as swiftly, with a concentration on the design phase of legal AI technologies, the lawyer client relationship, and the consequences of conscious AI.
