Thieves loot some Ethereum; chat apps and the IoT attract unwanted attention; AI detects viruses … and password sharing; and more …
In the popular Netflix series Ozark, money launderer Marty Byrde expends a lot of time and energy mitigating the risks that relate to his work, including his drug cartel client, a pair of farmers, the local pastor, and his own employee and her relatives—but financial regulators never appear to be a blip on his radar. Would the series turn out differently if Marty’s bank had used artificial intelligence to examine his deposits?
“AI will most likely lead to the end of the world, but in the meantime, there’ll be great companies.” –Sam Altman
Artificial intelligence (AI) is a controversial topic. It is easy to imagine a near future where AI solves some of our greatest problems and a relatively more distant future where AI becomes our greatest problem. For now, AI has yet to rebel against us and is proving to be a valuable tool in our everyday lives. AI is being deployed to help companies improve productivity, reduce costs, streamline processes, and unlock analytics and insights that weren’t previously available. Like past disruptive technologies, AI presents new issues under familiar areas of concern. Every company needs to know how their data is being used. AI technology adds a new layer of complexity to that all-too-familiar issue.
In their recent commentary, AI: Black boxes and the boardroom, colleagues Tim Wright and Antony Bott examine how well-founded concerns over the inscrutability of artificial intelligence processes and the bad outcomes that can be triggered by bad data can be alleviated by certain common sense approaches in the boardroom.
From the frontiers of content creation, we bring news in the longstanding war between man and machine. Or, in this particular case, animators versus software. Researchers from the University of Illinois Urbana-Champaign, Allen Institute for Artificial Intelligence, and the University of Washington are developing artificial intelligence software, dubbed “Composition, Retrieval and Fusion Network” (or CRAFT for short), that allows a user to generate a new video scene composed of graphic elements extracted from a library of preexisting video scenes by simply typing out a description of the new scene (e.g., “Fred is wearing a blue hat and talking to Wilma in the living room. Wilma then sits down on a couch.”). See here for those that prefer academic papers and here for those that prefer videos.
In this roundup, some of your favorite initialisms (AI, IP, TOS) come out to play while stories about government agencies and social media access call into question whether such access is a two-way street.
- There’s a wiki for terms of service agreements. (Arielle Pardes, Wired)
- Qualcomm introduces its first chip built for augmented and virtual reality. (Jacob Kastrenakes, The Verge)
- Microsoft’s HoloLens guides the blind through complicated buildings. (Rachel Metz, MIT Technology Review)
- 23andMe sues Ancestry over some very old intellectual property. (Megan Molteni, Wired)
- Law enforcement officials continue to push for more access to social media data. (Halley Freger, ABC News)
- YouTube stars criticize the platform for testing an algorithm at their expense. (Chris Foxx, BBC.com)
- Softback prepares to scale up its robotics business. (Parmy Olson, Forbes)
- PUBG files an infringement suit against Fortnite in South Korea. (Yuji Nakamura and Sam Kim, Bloomberg News)
- Apple introduces new controls to help users maintain screen-time/life balance. (Sarah Perez, TechCrunch)
- The city of Colorado Springs ventures briefly into a gray area as it blocks multiple users on social media accounts. (Anthony Prosceno/Tony Keith, KKTV 11News)
Recent technology news provides its usual mix of hope, distractions and hand-wringing-worthy developments. (Granted, one of these items is not so much “news” as an ever-present truth about TOS.)
- How design’s tricks of the trade separate users from their privacy on the internet. (Ariel Bogle, ABC Science)
- “Restore discs” created by e-waste innovator are ruled to have infringed on Microsoft IP. (Tom Jackman, Washington Post)
- Investigators mined a genealogy website to aid in finding the Golden State killer … is that a privacy issue or just good sleuthing? (Antonio Regalado, MIT Technology Review)
- The same algorithm that helps spot “face swaps” in video can be used to make more sophisticated fake videos. (MIT Technology Review)
- The arduous task of cleaning up Fukushima falls to robots (and the humans who guide them). (Vince Beiser, Wired)
- Studies confirm what we all know about who reads terms of service. (David Berreby, The Guardian)
- Oculus experiments with virtual reality as immersive theater. (Joan E. Solsman and Scott Stein, c|net)
- Fitbit continues push into health care devices by taking to the cloud. (Brian Heater, TechCrunch)
- Malaysian court sentences man over the posting of fake news. (Reuters/The Guardian)
- Could augmented reality transform the way you … play board games? (Christina Bonnington, Slate)
- Artificial intelligence unlocks the “angst-ridden teen” achievement in poetry it writes. (Dan Robitzski, Futurism)
As developments in artificial intelligence transform the business plans (and in some cases, the very identity) of industries, they also inevitably trigger the need for those industries that serve a supporting role to adapt in response. This is certainly true of the legal profession, and it’s also a given for the insurance industry. As is so often the case in life, with enough new wrinkles, there’s usually a good bit of gray. In Artificial Intelligence: A Grayish Area for Insurance Coverage, our colleague Ashley E. Cowgill explores some of the gray areas in insurance coverage created by the continued evolution and widening application of AI.
For all the talk of artificial intelligence and the benefits to be found in the related field of machine learning, there are also plenty of practical issues that companies on both sides of the vendor/client relationship will need to resolve. We recently examined one of these questions in the post, “Come Harvest Time, Who Owns the Fruits of Machine Learning” on Pillsbury’s SourcingSpeak blog.