| Time |
Session |
Panelists |
| |
Wednesday, April 3, 2024 |
|
| 5:30pm — 7:30pm |
Evening Welcome reception |
|
| |
Thursday, April 4, 2024 |
|
| 7:30am — 8:30am |
Buffet Breakfast & Sign-in |
|
| 8:30am — 8:45am |
Welcome and Announcements |
Weinlein |
| 8:45am — 10:15am |
Session 1: Artificial Intelligence and the Law: What AI is, what AI isn't, and how AI will affect the practice of law |
|
| |
In an “level-setting” introductory session for Artificial Intelligence novices and sophisticated legal practitioners alike, a panel of experts on AI and the law will explain the science and mathematics behind AI, distinguish the various flavors of AI (including Generative AI), define terms that will be used frequently during this conference, and identify the relevant mixed question of law and technology to be explored in depth in the subsequent sessions. |
Arnold, Grossman*, Kearney, Schlegel, Thomson |
| 10:15am — 10:30am |
Morning Break |
|
| 10:30am — 11:45am |
Session 2: Artificial Intelligence in the practice of law |
|
| |
We are already using Artificial Intelligence in the practice of law and have been for several years. For example, we use language-translation programs with client documents and communications, we use apps that predict the settlement value of our clients’ cases, based on historical data. We use online research tools that rank the relevance of court decisions to issues we have identified. Spelling and grammar apps constantly polish our draft memoranda and briefs. In recent months, Generative AI has propelled us into a world in which we can converse with an app to perform legal research, select relevant statutory and case law, and draft work product. In this session, the panel will discuss present use cases for AI in the practice of law, identify the types of AI products that are currently available, and prognosticate on what the future may hold. |
Cullen, Emory*, Goddard, Somma |
| 11:45am — 1:00pm |
Session 3: Assessing the validity, reliability, and bias of Artificial Intelligence |
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| |
Artificial Intelligence, like any technical tool, requires evaluation to determine whether it works properly, is appropriate for use in particular settings, and complies with developing regulations. Some AI applications have come under legal scrutiny for allegedly incorporating biases in their data and algorithms, producing undesirable, inaccurate, or inconsistent results. The performance of AI applications can be observed and measured, and if addressed properly, these applications can be improved or better managed to avoid liability. A panel of experts will discuss the performance of AI tools used for various business and legal functions, and how we assess their efficacy, to inform ourselves as legal practitioners and to advise clients. |
Ahmadia, Emory, Hall,Hedin* |
| 1:00pm — 2:15pm |
Lunch (provided) |
|
| 2:15pm — 3:30pm |
Session 4: Legal ethics issues raised by Artificial Intelligence |
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| |
The use of Artificial Intelligence by law firms, corporate legal departments, law enforcement, regulatory agencies, and the courts raises a host of ethical concerns, some of which are squarely governed by the Model Rules of Professional Responsibility. Rule 1.1 requires that lawyers understand the technologies they are using or are involved in their cases. Rule 1.5 requires that fees reasonably reflect the work performed by the attorney or firm. Rule 1.6 places a duty of confidentiality when using client data to train or query an AI application. Rules 3.3 and 3.4 require candor to the court and fairness to opposing parties when using AI to develop argument or evidence. Rules 5.1 through 5.3 require supervision of partners, associates, and assistants who may be using AI. Rule 5.5 prohibits the unauthorized practice of law, which may be facilitated by chatbots. A chatbot may even inadvertently establish an attorney-client relationship, in the mind of the client. The dialogue leaders will analyze these rules and situations and make recommendations for using AI ethically in the practice of law. |
Forrest, Jacobowitz, Morgan*, Todd |
| 3:30pm — 3:45pm |
Afternoon Break |
|
| 3:45pm — 5:00pm |
Session 5: Privacy and data security legal compliance challenges presented by Artificial Intelligence |
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| |
Lawyers have an ethical duty to protect their clients’ privacy and confidentiality interests, and they also must comply with laws and regulations applicable to all businesses. Artificial Intelligence is trained on massive datasets which often contain personal and sensitive information while prompts can also contain confidential information. The collection and retention of data gives rise to security and privacy challenges, both by creating a rich target for data thieves and a roadmap for intrusion into systems. Conversely, AI can be effectively utilized to spot privacy and security risks and possible intrusions. This panel will address adversarial attacks, prompt injection, jailbreaking, and other privacy and security risks, and how these risks can be mitigated. |
Cole, Jorgensen, Lanterman, Wilan* |
| 5:30pm — 7:00pm |
Reception (Guests Invited) |
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| |
Friday, April 5, 2024 |
|
| 7:30am — 8:30am |
Buffet Breakfast & Sign-In |
|
| 8:30am — 9:45 |
Session 6: Artificial Intelligence in human resources and employment law |
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| |
Artificial intelligence is already in active use in the workplace. With that comes several legal issues. When utilized for hiring, firing, performance review, or promotions, there is the possibility that AI may introduce or perpetuate race, gender, age, or disability biases. The data collection and retention needed to train AI applications may implicate employee privacy and data security concerns. This panel will identify the human resource issues, discuss some of the leading court and regulatory agency decisions, and invite dialogue on the road ahead. |
Adams, Baxter-Kauf, Ray, Withers* |
| 9:45am — 11:00am |
Session 7: Admissibility of AI-generated evidence and challenges to deepfakes |
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| |
Artificial Intelligence will soon be coming into courts and administrative proceedings as evidence. A key document in a contract case may have been generated by AI. A crucial business decision may have been based on the output of an AI app. A photograph or video may be challenged as a “deep fake.” There may not be a witness qualified to authenticate the output of AI as evidence under traditional evidence rules, or to testify if the evidence is challenged. Judges and juries, faced with the opacity of algorithms and datasets, may be ill-equipped to evaluate the potential weight of the evidence if admitted. The panel will discuss how courts and agencies have addressed these issues to date and whether new rules of evidence or procedure are required. |
Friedman*, Lanterman, Rodriguez, Thomson |
| 11:00am — 11:15am |
Morning Break |
|
| 11:15am — 12:30pm |
Session 8: Judicial and regulatory responses to Artificial Intelligence |
| |
Courts, legislatures, and regulatory agencies are grappling with AI and its consequences, from the impact of AI on privacy, consumer protection, securities regulation, and other spheres, to the admissibility of evidence and the accuracy of arguments assembled or generated by AI. A panel of judges and regulators will discuss the issues that concern them most, the approaches they are taking to address those issues, and the trajectory for future court and regulatory guidance in this area. |
Adams, Goddard, Grossman*, Masters, Rodriguez, Schlegel |
| 12:30pm — 12:45pm |
Wrap-Up |
| 12:45pm |
Adjournment and Grab & Go Lunch (provided) |
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