Law
This Chatbot Will Help You Sue Anyone
As a young programmer, Joshua Browder built a chatbot to act as a kind of AI lawyer that would help people dispute parking tickets. Not only did it work, but it was hugely popular, which led Browder to expand the program to help anyone harmed by the Equifax scandal sue the company in small claims court. Now his company, DoNotPay, is aiming even higher: by the end of this year, Browder plans to launch an addition to the platform that will you let you sue anyone. "To be honest, Equifax was just a bit of testing for the product that would let anyone sue anyone," Browder, one of 2017's 35 Innovators under 35, said Wednesday at MIT Technology Review's EmTech MIT conference. "The main use would be for taking down corporations."
Resources – on automated systems and bias
If you are a data scientist, a software developer, or in the social and human sciences with interest in digital humanities, then you're no stranger to the ongoing discussions on how algorithms embed biases, and discrimination and the call for critical and ethical engagement. I have keenly been following such discussion for a while and this post is an attempt to put together the articles, books, book reviews, videos, interviews, twitter threads and so on., that I've come across in one place so it can be used as a resource. This list is by no means exhaustive and as more and more awareness is being raised, there are more pieces/articles/journal papers being written on a daily basis. I plan to update these lists regularly. Also, if you think there are relevant material that I have not included, please leave them as a comment and I will add them.
Amazon EU Press Releases
Today, Amazon and the Max Planck Society announced that they intend to enter into a strategic collaboration to promote research in the field of artificial intelligence (AI). Amazon plans to build an Amazon Research Center adjacent to the campus of the Max Planck Institute for Intelligent Systems in Tuebingen. As part of the Cyber Valley initiative, the new center intends to bring together international key players from science and industry to concentrate their research activities in the field of AI. Amazon plans to invest 1.25 million Euro over the coming years to fund research groups in Tuebingen's Cyber Valley tech initiative. Cyber Valley was launched in December 2016 and focuses on AI research, such as robotics, machine learning and computer vision.
From Post-it Notes To Algorithms: How Automation Is Changing Legal Work
While document review used to be tedious work for lawyers, Kirk says they can now sift through gigabytes of data within days with the help of artificial intelligence. While document review used to be tedious work for lawyers, Kirk says they can now sift through gigabytes of data within days with the help of artificial intelligence. This is part of an occasional series: Is My Job Safe? These stories look at jobs that might be at risk because of technology and automation. Shannon Capone Kirk's first job as a young lawyer in the late '90s was "document review."
Ex-Google engineer establishes religion that worships an AI Godhead
One of the engineers behind Google's self-driving car has established a nonprofit religious corporation with one main aim – to create a deity with artificial intelligence. According to newly uncovered documents filed to the state of California in September 2015, Anthony Levandowski serves as the CEO and president of religious organisation Way of the Future. The documents, discovered by Wired's Backchannel, detail that Way of the Future's mission is "to develop and promote the realisation of a Godhead based on artificial intelligence and through understanding and worship of the Godhead contribute to the betterment of society". No more is known about the specifics of Way of the Future's Godhead, so it seems unlikely that a figure will be revealed any time soon. But the emergence of the documents demonstrates how the rapid advancement of AI and bioengineering is forcing discussions around how humans and robots will coexist on earth.
Stephen-Hawking-says-technology-end-poverty-urges-caution.html?ITO=1490&ns_mchannel=rss&ns_campaign=1490
A report by Human Rights Watch and the Harvard Law School International Human Rights Clinic calls for humans to remain in control over all weapons systems at a time of rapid technological advances. It says that requiring humans to remain in control of critical functions during combat, including the selection of targets, saves lives and ensures that fighters comply with international law. 'Machines have long served as instruments of war, but historically humans have directed how they are used,' said Bonnie Docherty, senior arms division researcher at Human Rights Watch, in a statement. 'Now there is a real threat that humans would relinquish their control and delegate life-and-death decisions to machines.' Some have argued in favour of robots on the battlefield, saying their use could save lives.
How a Matchmaking AI Conquered (and Was Exiled) from Tinder
Forecast is a series exploring the future of AI and automation in a variety of different sectors--from the arts to city building to finance--to find out what the latest developments might mean for humanity's road ahead. We'll hear from Nikolas Badminton, David Usher, Jennifer Keesmaat, Heather Knight, Madeline Ashby and Director X, among others. Created by Motherboard in partnership with Audi. It all started in a bar in 2014. Weary of watching his friends spend their nights swiping left or right on dating apps like Tinder, Justin Long of Vancouver decided to automate the process.
The wealthy get the biggest benefit from House Republican tax plan, analysis finds
Trump opens Asia trip with Japan's Abe against backdrop of tensions with North Korea Just one in three Americans trust Trump to handle North Korean tensions well Japan's Abe treats Trump to a day of personal diplomacy, including golf and trucker hats Brazile says Democratic primaries weren't'rigged' though some see evidence in her new book Trump is silent on Saudi king's purge though he and Salman spoke by phone Japan's Abe treats Trump to a day of personal diplomacy, including golf and trucker hats Brazile says Democratic primaries weren't'rigged' though some see evidence in her new book Trump is silent on Saudi king's purge though he and Salman spoke by phone The greatest benefit from the House Republican tax bill would go to upper-income households, according to an analysis released Monday by the nonpartisan Tax Policy Center. Middle-income taxpayers -- those earning between $48,600 and $86,100 annually -- would receive an average tax cut of $700 next year, or about 1% of their after-tax income, the analysis said. The top 20% of the nation's earners -- those making more than $149,400 a year -- would receive an average tax cut of $4,850, or about 1.4% of after-tax income. Those top earners would also receive 60% of the total tax benefits under the plan. Of that, the top 1% of earners, defined as those making more than $730,000 a year, receive about 22% of the total amount of tax cuts in 2018, the Tax Policy Center said.
Computer says no: why making AIs fair, accountable and transparent is crucial
In October, American teachers prevailed in a lawsuit with their school district over a computer program that assessed their performance. The system rated teachers in Houston by comparing their students' test scores against state averages. Those with high ratings won praise and even bonuses. Those who fared poorly faced the sack. The program did not please everyone.
What should governments be doing about the rise of Artificial Intelligence?
There is little doubt that Artificial Intelligence (AI) is transforming almost every facet of human life. How far this transformation will go and what the full ramifications for society will be are still unknown but this hasn't prevented people from making both optimistic and dire predictions. Elon Musk's call for AI regulation has been matched by equal calls for governments not to. One of the principle problems with AI has been the confusion that surrounds what it is exactly, and what it can and can't actually do. The single biggest problem in understanding AI however has been making it clear how current AI techniques (like deep learning) differ from human intelligence.