Difference between revisions of "Law"

From
Jump to: navigation, search
m
m
Line 158: Line 158:
 
|}
 
|}
 
http://inteng-storage.s3.amazonaws.com/images/sizes/AccuracyAIlaw-1_resize_md.jpg
 
http://inteng-storage.s3.amazonaws.com/images/sizes/AccuracyAIlaw-1_resize_md.jpg
 +
 +
= <span id="Artificial Intelligence Law"></span>Artificial Intelligence Law =
 +
[http://www.youtube.com/results?search_query=Artificial+Intelligence+Law YouTube search...]
 +
[http://www.google.com/search?q=Artificial+Intelligence+Law ...Google search]
 +
 +
* [[What is AI?]]
 +
 +
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.
 +
 +
________________________________________
 +
 +
* [http://docs.house.gov/meetings/FA/FA00/20180314/107997/HHRG-115-FA00-Transcript-20180314.pdf Modernizing Export Controls: Protecting Cutting-Edge Technology and U.S. National Security, March 14, 2018 | Committee on Foreign Affairs - US House of Representatives]
 +
* [http://www.gao.gov/new.items/d0770.pdf  EXPORT CONTROLS Agencies Should Assess Vulnerabilities and Improve Guidance for Protecting Export- Controlled Information at Universities, 2006 | U.S. Government Accountability Office (GAO)]
 +
* The Arms Export Control Act (AECA) is the cornerstone of U.S. munitions export control law; implementation through [http://www.dtic.mil/dtic/tr/fulltext/u2/a312382.pdf International Traffic in Arms Regulations (ITAR) June 1996 / United States Munitions List (USML) | U.S. State Department’s Directorate of Defense Trade Controls (DDTC)]
 +
* The Export Administration Act of 1979, as amended, authorizes the Department of Commerce, in consultation with other appropriate agencies, to regulate the export or re-export of U.S.-origin dual-use goods, software, and technology. [http://classic.ntis.gov/products/export-regs/ Export Administration Regulations (EAR)/Commerce Control List (CCL)| U.S. Department of Commerce]
 +
 +
{|<!-- T -->
 +
| valign="top" |
 +
{| class="wikitable" style="width: 550px;"
 +
||
 +
<youtube>BTkXas77jeg</youtube>
 +
<b>HH1
 +
</b><br>BB1
 +
|}
 +
|<!-- M -->
 +
| valign="top" |
 +
{| class="wikitable" style="width: 550px;"
 +
||
 +
<youtube>E48Yiu92B_U</youtube>
 +
<b>HH2
 +
</b><br>BB2
 +
|}
 +
|}<!-- B -->
 +
 +
* [http://www.vanityfair.com/news/2018/05/could-a-stranger-hijack-your-smart-home Could a stranger hijack your smart home? | Vanity Fair] Perhaps most alarming of all is that hijacking an Amazon Echo does not appear to violate any existing laws. Our antiquated U.S. legal code hasn’t caught up with the likes of smart devices, and it’s legal—though “counter to the public interest,” per the Federal Communications Commission—to broadcast subliminal messages via machine. Subliminal messages may be considered a violation of privacy, but that concept has not been successfully extended in court to machines. At least not yet.

Revision as of 13:12, 8 September 2020

Youtube search... ...Google search

Artificial Intelligence for Law firms
A webinar on Artificial Intelligence - A beginners guide for small and medium sized law firms

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.

Automating freight smart contracts with IoT, AI and blockchain
Cory Skinner, CEO and Founder, RoadLaunch, discusses the value of a blockchain ecosystem in the freight industry.

Blockchain, AI and Law

Code is Not the Law: Blockchain Contracts and Artificial Intelligence
This presentation is from The Ethics of Artificial Intelligence conference that took place October 14-15, 2016. It was hosted by the NYU Center for Bioethics in conjunction with the NYU Center for Mind, Brain and Consciousness.Speaker: Adam Kolber (Brooklyn Law School) Publisher: Livestream.com

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.

________________________________________

HH1
BB1

HH2
BB2

  • Could a stranger hijack your smart home? | Vanity Fair Perhaps most alarming of all is that hijacking an Amazon Echo does not appear to violate any existing laws. Our antiquated U.S. legal code hasn’t caught up with the likes of smart devices, and it’s legal—though “counter to the public interest,” per the Federal Communications Commission—to broadcast subliminal messages via machine. Subliminal messages may be considered a violation of privacy, but that concept has not been successfully extended in court to machines. At least not yet.