Swed-o-mation. Fool AI once, shame on you. IPPR paper on automation. http://cognitionx.com/news-briefing/.
What do you think is in store for AI in 2018? We took a look at what the experts were saying and wrote up this pretty solid roundup blogpost. You can tweet our highlights by clicking here. If there’s something big we missed, please let us know.
We think that the Nike slogan ‘Just Do It’ will aptly apply to 2018, when companies will rapidly go from Lab to Live; we’ll see many more companies actually deploying AI as opposed to just experimenting with it.
Future of Work: we will see an influx of upskilling efforts as AI and automation change the nature of many occupations, such as accountants.
Future of Transportation: 2018 will see a rise in interest and innovation in the ancillary areas of autonomous vehicles, from entertainment to cybersecurity, encompassing the whole experience.
Retail and Marketing: In retail, personalisation is king. According to a McKinsey report, 61% of consumers are more likely to buy from companies that deliver custom content based on real-time interactions. 2018 will be the year of the personalisation coronation for many companies in which they will double down on their AI-driven personalisation efforts.
Transparency and Ethics: 2017 was the year it was no longer OK to be sexist and misogynistic; 2018 will be the year when we honestly and truly combat these issues head-on.
Deployment of AI: companies are looking to deploy AI at scale in the coming year and developers are thirsty to learn more about the technology; there might be some hiccups along the way.
According to Peter S. Goodman (New York Times), in a world full of anxiety about the potential job-destroying rise of automation, Sweden is well placed to embrace technology while limiting human costs. 80% of Swedes express positive views about robots and AI, according to a survey this year by the European Commission. By contrast, a survey by the Pew Research Center found that 72% of Americans were “worried” about a future in which robots and computers substitute for humans.
“For us, automation is something good,” says Fredrik Hases, 41, who heads the local union chapter representing technicians. “No one feels like they are taking jobs away. It’s about doing more
with the people we’ve got.”
Check out this great post from Dr Hugh Harvey (Kheiron) which documents the results from his little ‘twexperiment’ (Twitter experiment) on Chest X-ray interpretation. His experiment exposes the problematic nature of training AI based on radiologists’ reports.
The problem quickly becomes apparent when you start using the written report to train an AI to learn how to interpret the image. The machine learning team at Stanford have done exactly this, using 108,948 labelled chest X-rays freely available from
the NIH. They proudly announced their results as outperforming a radiologist at finding pneumonia. Now, I’m all for cutting edge research, and I think it’s great that datasets like this are released to the public for exactly this reason…BUT we have to be extremely careful about how we interpret the results of any algorithms built on this data, because, as I have shown, the data is dirty. (I’m not the only one — please read Dr Luke Oakden-Rayner’s blog examining the dataset in detail)
In new research released last week, a team of MIT computer science students managed to trick Google’s Cloud Vision artificial intelligence into thinking that a picture of four machine guns was probably a helicopter. They did it by carefully manipulating the underlying pixels of an original image, changing it in ways that were imperceptible
to humans but completely disorienting for the AI.
The team demonstrated several other tricks, including convincing Cloud Vision that a group of skiers were actually a dog. They did it all without access to the vision system’s underlying code, a so-called “black box” scenario. The research points towards potential vulnerabilities in the systems behind technology like self-driving cars, automated security screening systems, or facial-recognition tools.
As machines become increasingly capable of performing tasks once thought to be the sole preserve of people, some commentators have raised the spectre of mass unemployment and profound economic disruption.
This discussion paper from the IPPR argues that public policy should seek to accelerate automation to reap the productivity benefits, while building new institutions to ensure the dividends of technological change are broadly shared. Check out this article from the FT (paywall) for more.
Vehicles made by Korean carmakers Hyundai and Kia will include built-in virtual assistants with AI-powered smarts beginning in 2019 (via Engadget). The plan to build smart assistants into vehicles will make use of tech created by SoundHound, the music identification company that has recently been focusing more on building AI agent software more akin to things like Siri and Google Assistant.
The assistants would be able to do things like suggest destinations based on what’s next in your calendar, or based on your past preferences and choices. They could also offer remote car and smart home control using voice commands, and do Alexa-like stuff including providing news and weather.
Cosette Jarrett argues that you must identify a voice for your brand and stick to it in your scripts, develop audio cues and music to provide a better listening experience,
offer extensive information that won’t overwhelm your users, and take time to carefully craft a call-to-action (CTA) that works on a voice platform.
Ask Purina: offers up detailed information on various dog breeds
Tide Stain Remover: provides users with detailed, step-by-step, voice instructions on removing over 200 types of stains
Johnnie Walker: offers the options to choose a label based on personal
preferences, buy a bottle, learn a little more about whiskey, or partake in a guided tasting
Zyrtec: helps allergy sufferers evaluate weather, pollen count, and prominent allergens in their area before they leave the house
Predictive care startup Clew Medical Ltd. (formerly Intensix) announced yesterday the completion of a $10.5M investment round. The round was led by Israeli venture capital firm Pitango Venture Capital with participation from Israeli venture capital company Agate and German medical cooperation Rhön-Klinikum AG.
Founded in 2014 and headquartered in Netanya, a city 19 miles north of Tel Aviv, Clew developed a web platform and mobile app used for the early detection of life-threatening complications in patients in intensive care units. The platform, also launched on Wednesday, uses big data analytics and machine learning to process large amounts of patients’ data collected at the ICU.