AI Septicism - Law Libraries of the Northeast (LLNE) Fall 2020 Meeting
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John Mayer, Executive Director of CALI (www.cali.org) talks about why AI is not going to replace lawyers and judges and the limits and hype of AI.
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AI Septicism - Law Libraries of the Northeast (LLNE) Fall 2020 Meeting
- 1. John Mayer Executive Director CALI/www.cali.org jmayer@cali.org @johnpmayer Why You Should Be Skeptical of Most AI Hype in Legal Applications … OR … Your Job Is Safe From the Robots - Mostly
- 3. www.cali.org
- 5. Agenda •AI is Over-Hyped •Super quick tutorial •An A2J Case Study in “ai” •Is Law a Machine?
- 6. Agenda •AI is Over-Hyped •Super quick tutorial •An A2J Case Study in “ai” •Is Law a Machine?
- 15. AI is over-hyped We won’t have self driving cars in 5 years Robots will not replace lawyers or judges …but… There will be a lot more automated decision- making
- 16. AI is over-hyped We won’t have self driving cars in 5 years Robots will not replace lawyers or judges …but… There will be a lot more automated decision- making v
- 17. Definitions of AI …automated decision-making
- 18. Agenda •AI is Over-Hyped •Super quick tutorial •An A2J Case Study in “ai” •Is Law a Machine?
- 20. What is AI?augmented intelligence business intelligence cognitive analytics/computing expert systems knowledge-based systems intelligent agents guided interviews curated experience chatbots navigators
- 21. What is AI?augmented intelligence business intelligence cognitive analytics/computing expert systems knowledge-based systems intelligent agents guided interviews curated experience chatbots navigators
- 22. What is AI? Rules Turned Into Code Patterns Supervised: Found By Humans Unsupervised: Found by Machines Reinforced: Found by Trial & Error
- 23. What is AI? Rules Turned Into Code Supervised: Found By Humans Unsupervised: Found by Machines Reinforced: Found by Trial & Error Patterns
- 24. Definitions of AI 1. Look at data 2. Find a pattern 3. Apply pattern to NEW data 4. Make decision
- 32. Definitions of AI 1. Look at data 2. Find a pattern 3. Apply pattern to NEW data 4. Make decision
- 33. DATA
- 34. PATTERN
- 36. APPLY PATTERN TO NEW DATA
- 37. MAKE A DECISION
- 39. OBVIOUS?
- 42. What is AI? Machine Learning: - Need LOTS and LOTS of Data - Good Data is Hard to Find / Create - Where is the Error? - Data? Pattern? Decision? - What is an Error? … Bias ?
- 43. What is AI? Rules Turned Into Code Patterns Supervised: Found By Humans Unsupervised: Found by Machines Reinforced: Found by Trial & Error
- 44. What is AI? Rules Turned Into Code Patterns Supervised: Found By Humans Unsupervised: Found by Machines Reinforced: Found by Trial & Error
- 45. Agenda •AI is Over-Hyped •Super quick tutorial •An A2J Case Study in “ai” •Is Law a Machine?
- 50. The Access to Justice Problem
- 51. Yay! LEGAL AID ^%&#$!! The Access to Justice Problem
- 53. 12
- 55. Things We Learned • Poor People Struggle With Legal Language • Poor People Have Less Education • Poor People With Legal Problems are Anxious • Legal process = legal education – People Learn A Little Each Time • Don’t waste the user’s time • Slow == Fast • Interfaces Matter
- 56. Lawyers can “code” without a programmer
- 57. Did It Succeed?
- 58. Overall A2J Author Utilization Interviews 5,875,230 Assemblies 3,212,802 1000+ Forms, Intakes, Calculators, Legal Processes
- 60. Chicago-Kent Albany Suffolk U Conn U Md U Washington U Tennessee CUNY Hofstra U Queensland (AUS) U British Columbia (CAN) Northern KY U UNC Concordia Columbia Georgetown U Richmond U Miami Northwestern Indiana U-McKinney UMKC Stetson
- 63. Agenda •AI is Over-Hyped •Super quick tutorial •An A2J Case Study in “ai” •Is Law a Machine?
- 65. Definitions of AI 1. Look at data 2. Find a pattern 3. Apply pattern to NEW data 4. Make decision
- 66. Definitions of AI 1. Look at data 2. Find a pattern 3. Apply pattern to NEW data 4. Make decision
- 67. The Jughead Problem “…the light is better here …”
- 70. https://cmns.umd.edu/news-events/features/4470 These six phenomena fall into two categories. In the first category are linguistic phenomena: paraphrasing (such as saying “leap from a precipice” instead of “jump from a cliff”), distracting language or unexpected contexts (such as a reference to a political figure appearing in a clue about something unrelated to politics). The second category includes reasoning skills: clues that require logic and calculation, mental triangulation of elements in a question, or putting together multiple steps to form a conclusion.
- 71. The lawyer’s craft goes beyond what AI can do because we listen with empathy to clients’ stories, strategize to find that story that might not be obvious, thoughtfully use our imagination and judgment to decide which story will appeal to an audience, and creatively tell those winning stories.
- 73. Diversity and Inclusion #MeToo What is Truth?
- 74. John Mayer Executive Director CALI/www.cali.org jmayer@cali.org @johnpmayer Why You Should Be Skeptical of Most AI Hype in Legal Applications … OR … Your Job Is Safe From the Robots - Mostly
Notes de l'éditeur
- Why You Should Be Skeptical of Most AI Hype in Legal Applications or Your Job Is Safe From the Robots - Mostly There has been an awful lot of press on Artificial Intelligence and how robots will replace lawyers, judges and such. As with any technological hype, there are very interesting things afoot and technology does have a way of changing our lives and work in amazing, horrible and unexpected ways. In this talk, I will mostly be an "AI Skeptic" and try to explain why computers will not replace legal professionals in the near future. I will, however, make the case for certain types of AI that are having a substantive impact on how legal services get delivered.
- CALI is a consortium of law schools. The future of law practice is automation of the simple tasks to leave more lawyer time for mindful, empathic practice. All law students should learn about legal process automation, and A2J Author is how we are doing this.
- CALI is a consortium of law schools. The future of law practice is automation of the simple tasks to leave more lawyer time for mindful, empathic practice. All law students should learn about legal process automation, and A2J Author is how we are doing this.
- https://www.pocket-lint.com/cars/news/ford/147742-self-driving-cars-won-t-come-as-soon-as-first-thought-says-ford-boss
- The essential message is that 50% of the poor who are eligible for legal aid AND show up to ask for it are turned away because of lack of lawyers. It’s actually much worse that that. If you look at everyone who cannot afford lawyers – people that don’t show up, people that don’t know they have a legal problem and people of modest means that number is OVER 80%.
- The essential message is that 50% of the poor who are eligible for legal aid AND show up to ask for it are turned away because of lack of lawyers. It’s actually much worse that that. If you look at everyone who cannot afford lawyers – people that don’t show up, people that don’t know they have a legal problem and people of modest means that number is OVER 80%.
- CALI does computer-assisted instruction, CC licensed ebooks, formative assessment and classroom tools and along with Chicago-Kent College of Law and the Institute of Design, we developed A2J Author way back in 2004
- The key and perhaps obvious observation is that poor people have trouble filling out legal forms. As a group, SRLs are less educated, likely that English is their second language, stressed out and … not lawyers. They are in an unfamiliar and hostile place.
- More so, when we train legal aid lawyers to create “Guided Interviews” - that’s what we call these – they don’t need a programmer. The sequence of the Guided Interview puts disqualifying questions up front so if people are ineligible or filling out the wrong form, they are exited fast.
- More so, when we train legal aid lawyers to create “Guided Interviews” - that’s what we call these – they don’t need a programmer. The sequence of the Guided Interview puts disqualifying questions up front so if people are ineligible or filling out the wrong form, they are exited fast.
- More so, when we train legal aid lawyers to create “Guided Interviews” - that’s what we call these – they don’t need a programmer. The sequence of the Guided Interview puts disqualifying questions up front so if people are ineligible or filling out the wrong form, they are exited fast.
- CLAUDIA
- One example - the New York Family Court uses A2J Author for several dozen different forms. They solicit feedback from users and have received thousands of comments like this. Court staff love this system too.
- A2J Author has been taught in 20 different law school courses and we learned a lot from this. Law students are eager to understand how legaltech affects their professional lives into the future.