Difference between revisions of "Law"

From
Jump to: navigation, search
m (→‎Generative AI)
m
 
Line 24: Line 24:
 
* [[Writing/Publishing#Legally| Writing/Publishing Legally]]
 
* [[Writing/Publishing#Legally| Writing/Publishing Legally]]
 
* [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]]
 
* [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]]
−
* [[Assistants]] ... [[Personal Companions]] ... [[Agents]] ... [[Negotiation]] ... [[LangChain]]
+
* [[Agents]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Assistants]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]]
 
* [[Other Challenges]] in Artificial Intelligence
 
* [[Other Challenges]] in Artificial Intelligence
 
* [[Bias and Variances]]
 
* [[Bias and Variances]]
Line 116: Line 116:
 
||
 
||
 
<youtube>wwbr0fombFs</youtube>
 
<youtube>wwbr0fombFs</youtube>
−
<b>The world’s first AI legal [[Assistants|assistant]] | Andrew Arruda | TED Institute
+
<b>The world’s first AI legal [[assistant]] | Andrew Arruda | TED Institute
−
</b><br>s a lawyer, Andrew Arruda too often saw the scales of justice tip in favor of the wealthy and partnered with a computer scientist to create the world’s first artificially intelligent legal [[Assistants|assistant]], ROSS. By speeding up legal research, Arruda wants ROSS to make the practice of law cheaper and fulfill the original promise of “justice for all.”  TED@IBM was a TED-curated event produced in partnership with IBM. The third installment of TED@IBM brought a diverse collection of speakers and performers who recognize that ingenuity starts with one thing: a spark. And regardless of where the spark takes hold, inspiration demands action to reach its greatest potential.  About the TED Institute: We know that innovative ideas and fresh approaches to challenging problems can be discovered inside visionary companies around the world. The TED Institute helps surface and share these insights. Every year, TED works with a group of select companies and foundations to identify internal ideators, inventors, connectors, and creators. Drawing on the same rigorous regimen that has prepared speakers for the TED main stage, TED Institute works closely with each partner, overseeing curation and providing intensive one-on-one talk [[development]] to sharpen and fine tune ideas.
+
</b><br>s a lawyer, Andrew Arruda too often saw the scales of justice tip in favor of the wealthy and partnered with a computer scientist to create the world’s first artificially intelligent legal [[assistant]], ROSS. By speeding up legal research, Arruda wants ROSS to make the practice of law cheaper and fulfill the original promise of “justice for all.”  TED@IBM was a TED-curated event produced in partnership with IBM. The third installment of TED@IBM brought a diverse collection of speakers and performers who recognize that ingenuity starts with one thing: a spark. And regardless of where the spark takes hold, inspiration demands action to reach its greatest potential.  About the TED Institute: We know that innovative ideas and fresh approaches to challenging problems can be discovered inside visionary companies around the world. The TED Institute helps surface and share these insights. Every year, TED works with a group of select companies and foundations to identify internal ideators, inventors, connectors, and creators. Drawing on the same rigorous regimen that has prepared speakers for the TED main stage, TED Institute works closely with each partner, overseeing curation and providing intensive one-on-one talk [[development]] to sharpen and fine tune ideas.
 
|}
 
|}
 
|<!-- M -->
 
|<!-- M -->
Line 271: Line 271:
 
</b><br>United States Court of Appeals for the Ninth Circuit  2017 Ninth Circuit Judicial Conference
 
</b><br>United States Court of Appeals for the Ninth Circuit  2017 Ninth Circuit Judicial Conference
  
−
Artificial Intelligence Today—Tomorrow's Legal Challenges of Machine Learning Once an area limited primarily to academic study, Artificial Intelligence ("AI") now enables a constellation of technologies that we take for granted such as Internet search algorithms; computer and phone speech [[Assistants|assistants]]; self-driving cars; health care diagnostics; investment platforms; industrial robots; and home heating; cooling and security. This is just the beginning. AI technology is growing rapidly. As it grows, it will not merely be an aid to human activity, but a powerful force that reshapes our world, our thinking, our lives, and our constitutional principles. In this panel presentation we discuss what AI is, its status today, what the future might hold, and some of the critical issues courts may face in addressing the impact of AI. Introduction: Michelle M. Pettit, Assistant U.S. Attorney, CAS At-Large Member, Conference Executive Committee
+
Artificial Intelligence Today—Tomorrow's Legal Challenges of Machine Learning Once an area limited primarily to academic study, Artificial Intelligence ("AI") now enables a constellation of technologies that we take for granted such as Internet search algorithms; computer and phone speech [[assistants]]; self-driving cars; health care diagnostics; investment platforms; industrial robots; and home heating; cooling and security. This is just the beginning. AI technology is growing rapidly. As it grows, it will not merely be an aid to human activity, but a powerful force that reshapes our world, our thinking, our lives, and our constitutional principles. In this panel presentation we discuss what AI is, its status today, what the future might hold, and some of the critical issues courts may face in addressing the impact of AI. Introduction: Michelle M. Pettit, Assistant U.S. Attorney, CAS At-Large Member, Conference Executive Committee
  
 
Speakers:
 
Speakers:

Latest revision as of 08:06, 23 March 2024

YouTube ... Quora ...Google search ...Google News ...Bing News

Generative AI

Advancements

ChatGPT: A Revolution for Legal AI?
ChatGPT has reinvigorated discussions about the transformative use of AI in professional spheres including law and legal services delivery. Can ChatGPT aid lawyers in drafting contracts and briefs? Is ChatGPT equipped to offer reliable legal advice? Long-term, could tools like ChatGPT replace some lawyers entirely? The Northwestern Law and Technology Initiative – a partnership between Northwestern Engineering and Northwestern’s Pritzker School of Law – and Northwestern Law’s High Tech Law Society convened a panel on January 10, 2023, to discuss these questions and consider the opportunities and limitations of large language models.

ChatGPT For Lawyers: 101 Disruptive ChatGPT Prompts For Lawyers
Lawyers (yes, you reading this) wanting more clients and creating automated systems for your law firm, if you'd like to partner with us to scale, APPLY HERE: https://calendly.com/legalfunnel/call

AI will disrupt the legal market. AI is a revolutionary technology that will open up a world of new possibilities by surpassing the information age and entering the knowledge age. In this practical AI guide for lawyers, we explore how AI and ChatGPT are poised to disrupt the way lawyers run their law firm and offer prompts on how to leverage AI to stay competitive in the face of this change. But as you read on, you may be surprised to learn that this entire introduction was actually written by an AI.

Train GPT-3 on Any Corpus of Data with ChatGPT and Knowledge Graphs - SCOTUS Opinions Part 1

Train GPT-3 on Any Corpus of Data with ChatGPT and Knowledge Graphs - SCOTUS Opinions Part 2

The Future of Lawyers: The Impact of Legal Tech, AI, Big Data and Online Courts
Here we talk about the future role of layers, how their job will change, and how they can best prepare for the 4th industrial revolution.

Artificial intelligence and judicial systems
Artificial intelligence (#AI) raises new challenges for #justice and #judicial systems. The European Commission for the Efficiency of Justice of the Council of Europe, through its working group GT-QUAL, is working on it. Watch the video to learn more about this work. More infomation on www.coe.int/justice or www.coe.int/cepej

The world’s first AI legal assistant | Andrew Arruda | TED Institute
s a lawyer, Andrew Arruda too often saw the scales of justice tip in favor of the wealthy and partnered with a computer scientist to create the world’s first artificially intelligent legal assistant, ROSS. By speeding up legal research, Arruda wants ROSS to make the practice of law cheaper and fulfill the original promise of “justice for all.” TED@IBM was a TED-curated event produced in partnership with IBM. The third installment of TED@IBM brought a diverse collection of speakers and performers who recognize that ingenuity starts with one thing: a spark. And regardless of where the spark takes hold, inspiration demands action to reach its greatest potential. About the TED Institute: We know that innovative ideas and fresh approaches to challenging problems can be discovered inside visionary companies around the world. The TED Institute helps surface and share these insights. Every year, TED works with a group of select companies and foundations to identify internal ideators, inventors, connectors, and creators. Drawing on the same rigorous regimen that has prepared speakers for the TED main stage, TED Institute works closely with each partner, overseeing curation and providing intensive one-on-one talk development to sharpen and fine tune ideas.

Meet ROSS, Your Brand New Artificially Intelligent Lawyer
ROSS Intelligence builds artificially intelligent tools to enhance lawyer’s abilities – allowing them to do more than ever before humanly possible.

Intersecting the Future: AI, the future of work and the evolution of law | Beyond our Borders
Laura van Wyngaarden, Co-Founder, Diligen, a machine learning powered project management platform for legal contract review, Toronto, Canada Moderator: David Schwartz, Stanford Clinton Sr. and Zylpha Kilbride Clinton Research Professor of Law

Artificial justice: would robots make good judges?
When we want to solve a complicated math problem quickly and accurately, many of us will turn to a calculator without thinking twice. But would you want a machine determining the outcome of a complex legal case? This is the question Jaerin Jo got hung up on after participating in a debate about AI at her school. Jaerin's own father is a judge in South Korea, and imagining a future where robots preside over courtrooms brought up many brain-twisting questions about the appropriate uses of AI and the nature of justice itself. This thought-provoking Talk imagines what an AI justice system might look like, and asks you to consider how you would participate in it. This Talk was given at TED-Ed Weekend in New York City.

Machine Learning in the Criminal Justice Systems | Jens Ludwig | Talks at Google
Jens Ludwig, Director of the University of Chicago Crime Lab, talks about applying machine learning to reducing crime in Chicago and other public policy areas. In 2008, Ludwig helped found the Crime Lab to carry out data-driven methods to prevent crime and violence, and reduce the harms associated with the criminal justice system. Crime Lab’s work on gun policy, reducing crime, and education intervention studies have led to new policy initiatives in a number of US cities. The Crime Lab been has received coverage on major news outlets such as The New York Times and The Wall Street Journal. It is also the recent recipient of a $10 million donation from billionaire philanthropist Ken Griffin. Ludwig is the McCormick Foundation Professor of Social Service Administration, Law, and Public Policy at the University of Chicago. He is also a non-resident senior fellow in economic studies at the Brookings Institution, a research associate at the National Bureau of Economic Research (NBER), and co-director of the NBER's Working Group on the Economics of Crime. Ludwig is an economist by training and in 2012 was elected to the Institute of Medicine of the National Academies.

Machine Learning applied to judicial decisions - Danilo Mendes & Yan Teixeira (Legal Labs)
The need for technology applied to the legal sector has been a very relevant issue in the Brazilian scenario. The volume of processes is huge and the traditional methods of process analysis and execution no longer account for the demand. The process was physical, then turned digital, we inaugurated the next phase: intelligence on the mass litigations. The amount of Brazilian lawsuits shows a crisis scenario that is, at the same time, an important generator of opportunities. In this talk, we show how we developed Dra. Luzia, who was trained to make decisions in mass litigations. To do so, we elucidate how data mining and the application of machine learning, including deep learning, were applied in the development of the Artificial Intelligence platform Dra. Luzia. We believe that the Brazilian Judiciary will begin to use IA soon. This will directly impact the speed of procedural steps. Danilo Mendes: Researcher, Developer and Project Manager at Legal Labs with a degree in Software Engineering from the University of Brasília. He has worked on embedded projects to help disabled people and in web and mobile applications for companies and institutions. He was a researcher at California State University, Fullerton, with the goal of re-creating multidimensional sound for hearing aids. Participated in the conception, creation and development of Dr. Luzia.

Extracting Legal Data

Zack Witten: Extracting Structured Data from Legal Documents | PyData LA 2018
You’ll learn how to take a never-before-seen legal document, like a contract or a convertible note, and use machine learning to “read” the document and answer questions like “Who’s the investor” and “What interest rate did the parties agree to?” www.pydata.org

NLP on legal contracts - Uri Goren
PyCon Israel 2019

Contracts

How Smart Contracts Will Change the World | Olga Mack | TEDxSanFrancisco
Olga Mack is an experienced lawyer who developed a passion about the intersection of law and blockchain. In her talk she explains how smart contracts operates and why they matter. Lawyer, Adjunct Professor UC Berkeley, School of Law. Strategist at Quantstamp at the intersection of blockchain and Smart Contracts. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

AI and Smart Contracts | Sergey Nazarov and Lex Fridman
Sergey Nazarov is the CEO of Chainlink, a decentralized oracle network that provides data to smart contracts.

Blockchain, AI and Law

AI, Blockchain, and Beyond Exploring the Future of Technology and IP Law with Enrico Schaefer
Are you struggling to navigate the complex world of technology and intellectual property law? Do you find the intersection of AI and machine learning with the legal industry overwhelming? Join us on The Law Spot, where we speak with technology lawyer Enrico Schaefer as he shares his invaluable insights and expertise on these emerging technologies and how you can protect your business.

Legal Technology Track: The Blockchain & AI: Smart Contracts, Machine Learning, & the Future
More than just buzzwords, emerging technologies like AI and blockchain are becoming tools used by lawyers and their clients every day. Learn from experts from Sagewise and Casetext about what these future technologies offers lawyers, and how you can start using these tools today. Host: Joshua Lenon: Lawyer in Residence, Clio Guests: Dat Nguyen: VP, Special Projects at Sagewise and Jake Heller: CEO, Casetext

Artificial Intelligence and Law – An Overview and History

Artificial Intelligence and Law – An Overview and History | Guest Speaker: Harry Surden
Associate Professor of Law, University of Colorado; Affiliated Faculty, CodeX

AccuracyAIlaw-1_resize_md.jpg

Artificial Intelligence Law

YouTube search... ...Google search

Having a usable definition of AI – and soon – is vital for regulation and governance because laws and policies simply will not operate without one. This definition problem crops up in all regulatory contexts, from ensuring truthful use of the term “AI” in product advertising right through to establishing how next-generation automated weapons systems (AWSs) are treated under the laws of war.

________________________________________

Artificial Intelligence (AI) Ethics: Law, Governance and Public Policy
Artificial intelligence is fraught with legal, ethical, and public policy challenges. This episode brings two esteemed experts to discuss these issues and present guidance for both commercial companies and the public sector.

Dr. David A. Bray is CIO of Federal Communications Commission. He began work in public service at age 15, later serving in the private sector before returning as IT Chief for the CDC’s Bioterrorism Preparedness and Response Program during 9/11; volunteering to deploy to Afghanistan to “think differently” on military and humanitarian issues; and serving as a Senior Executive advocating for increased information interoperability, cybersecurity, and civil liberty protections. He serves as a Visiting Executive In-Residence at Harvard University, a member of the Council on Foreign Relations, and a Visiting Associate at the University of Oxford.

Kay Firth-Butterfield is a Barrister and part-time Judge and has worked as a mediator, arbitrator, business owner and professor in the United Kingdom. In the United States, she is Chief Officer, and member, of the Lucid.ai Ethics Advisory Panel (EAP) and an adjunct Professor of Law. Kay is a humanitarian with a strong sense of social justice and has advanced degrees in Law and International Relations. Kay co-founded the Consortium for Law and Policy of Artificial Intelligence and Robotics at the University of Texas and taught its first course: Artificial Intelligence and Emerging Technologies: Law and Policy. She is Vice Chair of the IEEE Industry Connections Committee “Global Initiative for Ethical Considerations in the Design of Autonomous Systems”.

Artificial Intelligence Today—Tomorrow's Legal Challenges of Machine Learning
United States Court of Appeals for the Ninth Circuit 2017 Ninth Circuit Judicial Conference

Artificial Intelligence Today—Tomorrow's Legal Challenges of Machine Learning Once an area limited primarily to academic study, Artificial Intelligence ("AI") now enables a constellation of technologies that we take for granted such as Internet search algorithms; computer and phone speech assistants; self-driving cars; health care diagnostics; investment platforms; industrial robots; and home heating; cooling and security. This is just the beginning. AI technology is growing rapidly. As it grows, it will not merely be an aid to human activity, but a powerful force that reshapes our world, our thinking, our lives, and our constitutional principles. In this panel presentation we discuss what AI is, its status today, what the future might hold, and some of the critical issues courts may face in addressing the impact of AI. Introduction: Michelle M. Pettit, Assistant U.S. Attorney, CAS At-Large Member, Conference Executive Committee

Speakers: Hon. Mariano-Florentino Cuéllar, Associate Justice, California Supreme Court Ryan Calo, Assistant Professor, University of Washington School of Law and Co-Director, Washington Tech Policy Lab, University of Washington Kate Crawford, Principal Researcher, Microsoft Corporation Social Media Collective, and Senior Fellow, New York University, Information and Law Institute Tim Hwang, Esq., Google Policy Team Yann LeCun, Director of AI Research at Facebook, Silver Professor of Dara Science, Computer Science, Neural Science, and Electrical Engineering, New York University William Santana Li, CEO & Founder, Knightscope Inc.

Intellectual Property (IP) Ownership

...recent artificial intelligence case, in which the US District Court for the Eastern District of Virginia held that an AI system cannot be named as an inventor on a patent. Unlike US patent law, US copyright law does not have an express requirement of human authorship; however, US courts and the US Copyright Office generally operate on the basis of this requirement and deny registrations of works not created by humans. In fact, the Compendium of US Copyright Office Practices—a manual produced by the US Copyright Office, intended for use primarily by the Copyright Office staff as a general guide to policies and procedures such as registration, deposit and recordation—states, “the term ‘authorship’ implies that, for a work to be copyrightable, it must owe its origin to a human being”. Materials produced solely by nature, by plants, or by animals are not copyrightable. The metaverse could have virtual creations by avatars and AI aspects built into them. If such creations are deemed to be AI creations and not human creations, they may not be allowed certain types of intellectual property protection. A Brief Overview of the Metaverse and the Legal Challenges It Will Present | Rahul Kapoor & Shokoh Yaghoubi - JDSUPRA

Amnesty International

Amnesty International is fighting the use of AI to abuse human rights in a number of ways, including:

  • Research and advocacy: Amnesty International conducts research on the impact of AI on human rights, and uses this research to advocate for policies and practices that protect human rights. For example, Amnesty International has called for a ban on the use of facial recognition technology by law enforcement, and for the development of ethical AI principles that are based on human rights.
  • Collaboration with other organizations: Amnesty International collaborates with other organizations, such as the European Parliament and the United Nations, to raise awareness of the human rights risks of AI and to advocate for solutions.
  • Legal action: Amnesty International has taken legal action against companies and governments that use AI in ways that violate human rights. For example, Amnesty International has filed a lawsuit against Clearview AI, a company that collects and sells facial recognition data without people's consent.
  • Public education: Amnesty International educates the public about the human rights risks of AI, and encourages people to take action to protect their rights. For example, Amnesty International has launched a campaign to raise awareness of the use of AI in mass surveillance.


Amnesty International's work to fight the use of AI to abuse human rights is important because AI has the potential to be a powerful tool for good or for harm. By working to ensure that AI is used in a way that respects human rights, Amnesty International is helping to create a more just and equitable world.

Here are some specific examples of Amnesty International's work on this issue:

  • In 2019, Amnesty International published a report called "The Impact of Artificial Intelligence on Human Rights". The report found that AI is being used in ways that violate a wide range of human rights, including the right to privacy, the right to freedom of expression, and the right to a fair trial.
  • In 2020, Amnesty International launched a campaign called "Ban the Scan". The campaign calls for a ban on the use of facial recognition technology by law enforcement.
  • In 2021, Amnesty International filed a lawsuit against Clearview AI, a company that collects and sells facial recognition data without people's consent. The lawsuit alleges that Clearview AI's practices violate the privacy rights of millions of people.
Retrieved from "https://primo.ai/index.php?title=Law&oldid=36449"