what if? artificial intelligence in legal services...what if? artificial intelligence in legal...
TRANSCRIPT
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What If? Artificial Intelligence
In Legal Services
By:
Abhijeet Chavan
Presented at:
Better Access Through Unbundling
Oct 26, 2017
IAALS/ABADenver, CO
© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
A I
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
Machine learningNatural language processingNatural language generation
Decision managementAudio/Speech analysis
Virtual assistantsDeep learning
Robotics
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
Big Data
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More data will be created in 2017
than the previous 5,000 years of humanity
App Developer Magazine, Dec 23, 2016
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
Machine Learning
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
Machine learning is a statistical process that
derives rules from data to gain insights or make predictions.
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The world’s top tech companies are in a race to build the best AI and capture that massive market, which means the technology will get better fast—
and come at us as fast.
Google, Facebook and Microsoft are devoting their research labs to AI and robotics.
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“One area of great optimism about AI and machine learning is their potential to improve
people’s lives by helping to solve some of the world’s greatest challenges and inefficiencies.”
Preparing for the Future of Artificial Intelligence (Oct 2016)Executive Office of the President of the United States
National Science and Technology Council National Science & Technology Council Committee on Technology
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
A IArtificial Intelligence
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
I AIntelligent Automation
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Preparing for the Future of Artificial Intelligence (Oct 2016)Executive Office of the President of the United States
National Science and Technology Council National Science & Technology Council Committee on Technology
Image Recognition Challenge Error Rate:
AI in 2011 26.0%
Humans 5.0%
AI in 2015 3.5%
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
A IArtificial Intelligence
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
I AIntelligence Augmentation
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Preparing for the Future of Artificial Intelligence (Oct 2016)Executive Office of the President of the United States
National Science and Technology Council National Science & Technology Council Committee on Technology
Analyzing Lymph Node Cells to Detect Cancer
AI 7.5%
Pathologist 3.5%
AI + Pathologist 0.5%
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
https://www.propublica.org/series/machine-bias
Bias in Criminal Risk Scores Is Mathematically Inevitable
Facebook Doesn’t Tell Users Everything It Really Knows About
Facebook Lets Advertisers Exclude Users by Race
Breaking the Black Box: How Machines Learn to Be Racist
Making Algorithms Accountable
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© 2017 Abhijeet Chavan twitter.com/legalaidtech CC BY-SA 4.0
Conversational User Interface
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© 2017 Abhijeet Chavan twitter.com/legalaidtech CC BY-SA 4.0
Chatbots
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© 2017 Abhijeet Chavan twitter.com/legalaidtech CC BY-SA 4.0
VirtualAssistants
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DLAWDrupal for Legal Aid Websites
openadvocate.org/dlaw
In Collaboration With
OpenAdvocatewww.openadvocate.org
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GuideClearly Interactive guides for your websiteguideclearly.com @guideclearly
© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
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Kansas Legal Services uses GuideClearly to help users find legal info and help
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Pine Tree Legal Assistance uses GuideClearly for medical services eligibility screening
124Questions
264Unique Paths
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Essential Readings - 1• White House: Preparing for the Future of Artificial Intelligence
https://obamawhitehouse.archives.gov/blog/2016/10/12/administrations-report-future-artificial-intelligence
• ProPublica Series: Machine Biashttps://www.propublica.org/series/machine-bias
• Code-Dependent: Pros and Cons of the Algorithm Agehttp://pewrsr.ch/2kslvuK
• Top 9 Ethical Issues in Artificial Intelligence https://www.weforum.org/agenda/2016/10/top-10-ethical-issues-in-artificial-intelligence/
• Asilomar AI Principleshttps://futureoflife.org/ai-principles/
© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
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Essential Readings - 2• Why Our Conversations on Artificial Intelligence Are Incomplete
https://thewire.in/109882/why-our-conversations-on-artificial-intelligence-are-incomplete/
• As Computers Get smarter, Who Keeps Tabs On Their Ethics? https://www.theguardian.com/technology/2017/feb/05/artificial-intelligence-ethics-poker-libratus-texas-holdem-ai-deepstack
• What’s Still Missing From the AI Revolution https://www.fastcodesign.com/3068005/whats-still-missing-from-the-ai-revolution
• AI watchdog needed to regulate automated decision-makinghttps://www.theguardian.com/technology/2017/jan/27/ai-artificial-intelligence-watchdog-needed-to-prevent-discriminatory-automated-decisions
• How AI and Robots will Radically Transform the Economy http://www.newsweek.com/2016/12/09/robot-economy-artificial-intelligence-jobs-happy-ending-526467.html
© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
“Every area of life will be affected.
Every. Single. One.”Baratunde Thurston
Director’s Fellow at MIT Media Lab Source: Pew Research Center
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© 2017 Abhijeet Chavan CC BY-SA 4.0 twitter.com/legalaidtech
Abhijeet Chavan
@legalaidtech