Cobots + worker’s wellbeing. Affectiva’s new emotion-detecting API. Tesla Autopilot + safety. http://cognitionx.com/news-briefing/.
Happy 300th issue. Thanks for sticking with us! We’re always looking to improve, so if you have a spare couple of minutes, please fill out our survey.
As more and more AI systems and robots are being built, one of the key questions that is being asked is ‘how human should it be’? We don’t want them to be too human, lest we sink into the Uncanny Valley, but do we want them to ‘lie’, for example?
A recent research paper on ‘autonomous negotiation agents’ asks this very question: when we begin to use AI agents to negotiate for us (to buy a house, ask for a raise, etc.), should they be humanlike and “lie on behalf of a user, for example, by using argumentation and persuasion technology”?
Thanks to all of you participated in our recent survey on whether or not governmental regulation could solve the ethical issues around facial recognition tech. Around 75% did not think governmental regulations were the answer to the problem and 25% were in favour of regulations, saying that ‘it is incumbent on innovators to advise government on what regulation is required’.
“Cobots”, or collaborative robots, are making inroads into work previously considered too difficult to automate. But as cobots get better at performing tasks such as material handling or packaging, their designers are having to consider the effects on their colleagues of the machines’ improved ability to interact with humans.
Richard Waters (FT) discusses the impact that these robots have on workers. Losing a job to a machine or algorithm carries a unique psychological burden, says Marty Nemko, a psychologist and career counsellor. “The big issue with this fourth industrial revolution is that we don’t have the social institutions that are facilitating and enabling the transition,” says Ravin Jesuthasan, managing director at Willis Towers Watson, and leader of the consulting group’s research area, “Future of Work”.
The National Traffic Safety Board had stern words for all parties involved in the 2016 crash that killed a man driving a Tesla Model S and put the company’s Autopilot driving technology under scrutiny.
The board issued seven recommendations at the Tuesday hearing, including three for Tesla and every other automaker that offers Level 2 self-driving abilities that suggested manufacturers should not let a product be used, in a manner that is, “inconsistent with its
design.” Other recommendations centered around data collection and designs for determining whether drivers are actually paying attention behind the wheel.
Sophia Genetics, a healthcare startup backed by Autonomy billionaire Mike Lynch, has raised $30M (£23M) for its medical software platform.
Founded in 2011, Sophia Genetics has built a software platform that can help to diagnose patients by analysing genetic data. The company employs 150 people. The company said its software is being used by 330 hospitals in 53 countries to diagnose some 8,000 patients per month. Sophia becomes more intelligent every time it analyses a genomic profile, the company claimed.
Affectiva, the startup that spun out of the MIT Media Lab several years ago with tools designed to understand facial emotions, announced a new cloud API today that can detect a range of emotion in human speech.
Affectiva understands that the data they have gathered to this point is only the beginning. Today’s announcement around the API is also about getting partners to help push this work further along. “We are starting with a crowd-based API because we are looking for data partners interested in partnering around data and emotion classifiers,” she said. They are also running a one-day Emotion AI Summit today in Cambridge at the MIT Media Lab where a variety of speakers will discuss the implications for this kind of technology on society.
Put in the most simple terms, Portrait Lighting uses the depth map — captured by the dual cameras on the iPhone 8 Plus — to intelligently dodge and burn the contours of a human’s face to replicate the appearance of studio lighting.