AI/robotics are technologies, and are different from food/drugs/… which are industries. We need new regulations for food/drugs/planes/cars/media/finance/education given AI advances. But let’s use industry-specific risks as the starting point for regulating that industry.
What do you think? Is it too early/misguided to regulate AI, or should we regulate ‘like we do food, drugs, etc.’?
We’re looking forward to moving the conversation forward on this topic at CogX London 2018 (11-12 June) with epic speakers like Irakli Beridze (Senior Strategy and Policy Advisor, UNICRI). Don’t forget: our CogX Early bird tickets will be £599 for November only – just 4 days left to get yours!
Tabitha UntiltheBotsTakeOver Goldstaub
PS- Loving the news briefing? Share the love with a friend or two. They can sign up here .
Doctors at Cedars-Sinai Hospital in Los Angeles are testing out a new wearable called “AbStats,” that can read the stomach in a similar manner to how a Fitbit tracks steps. The device was invented by Brennan Spiegel, director of health services research at Cedars-Sinai.
The device, which sits neatly on the stomach, uses sensors to record how our gut sounds when it’s digesting food or at rest. The algorithm is trained to hear relevant sounds from the gut like cracks and rumbles. Spiegel’s team is currently testing the device on patients who are recovering from surgery to assess when they’re ready to consume liquids or solids. Previously, doctors had to guess. Making sure it’s the right time to eat for these patients could prevent complications and help them return home more quickly.
Back in July this year, Google put forward its plan to train around 2 million developers in India with the aim to help spur innovation and support the growth of India’s start-up ecosystem. In line with the same initiative, Google India on Thursday announces a new scholarship program in partnership with Pluralsight and Udacity to train nearly 130 thousand developers and students and build a highly skilled tech workforce in India.
Under the new scholarship program, Google plans to help developers improve their learning on the emerging technologies like Mobile and Web development, Machine Learning, AR/VR, Artificial Intelligence, and Cloud Platforms.
Ivy Nguyen (Zetta Venture Partners) and Ash Fontana (Zetta Venture Partners) argue that, in practice, decades-old AI technologies could unlock significant value, although many companies still have yet to adopt them. They say that this is because adoption of AI is determined by both trust and risk. Thinking about AI adoption in this way enables us to more accurately anticipate opportunities for AI startups.
You can find “her” number within fake messages placed alongside real ads on websites popular with those looking to buy sex. Naive and innocent, the bot will tell you she is nervous and check that her age is “cool with you”. If you say yes, that’s when it’s revealed: you’ve been talking to a chatbot, and buying sex is a crime that harms women the world over.
Amanda Hightower (executive director of Real Escape from the Sex Trade) thinks the success of this technology could and should be replicated around the world, though she cautions that it’s not enough to just contact women – there needs to be more investment in supporting them once they have left the life. The number-scraping tool has been rolled out to 12 cities and so far identified 90,000 unique phone numbers for specialists to contact.
Graham Neubig (Assistant Professor at the Carnegie Mellon University Language Technology Institute) has finished putting up his Fall 2017 lecture videos on neural networks in NLP, which covers a lot of useful recent research. Check ’em out.
Thomas Hargrove is a homicide archivist. For the past seven years, he has been collecting municipal records of murders, and he now has the largest catalogue of killings in the country—751,785 murders carried out since 1976, which is roughly twenty-seven thousand more than appear in F.B.I. files. States are supposed to report murders to the Department of Justice, but some report
inaccurately, or fail to report altogether, and Hargrove has sued some of these states to obtain their records.
Using computer code he wrote, he searches his archive for statistical anomalies among the more ordinary murders resulting from lovers’ triangles, gang fights, robberies, or brawls. Each year, about five thousand people kill someone and don’t get caught, and a percentage of these men and women have undoubtedly killed more than once. Hargrove intends to find them with his code, which he sometimes calls a serial-killer detector.
Tokyo-based Ascent Robotics has been developing autonomous driving software for Level 4 capable-vehicle (fully autonomous driving including steering, accelerating and braking without human input) in the Japanese road environment. The firm launched a beta version of AI (Artificial Intelligence) learning environment named Atlas last week.
Atlas is a learning environment for AI used in simulator-based vehicle/robot, integrating VR (Virtual Reality) human interface and 3D simulation environment, in addition to deep reinforcement learning algorithm. By using both real and pseudo data for learning AI, the learning efficiency is increased to more than 50 times compared to that when using only real data.