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Incorporating ethics and legal compliance into data-driven algorithmic systems has been attracting significant attention from the computing research community, most notably under the umbrella of fair8 and interpretable16 machine learning. While important, much of this work has been limited in scope to the "last mile" of data analysis and has disregarded both the system's design, development, and use life cycle (What are we automating and why? Is the system working as intended? Are there any unforeseen consequences post-deployment?) and the data life cycle (Where did the data come from? How long is it valid and appropriate?). In this article, we argue two points. First, the decisions we make during data collection and preparation profoundly impact the robustness, fairness, and interpretability of the systems we build. Second, our responsibility for the operation of these systems does not stop when they are deployed. To make our discussion concrete, consider the use of predictive analytics in hiring. Automated hiring systems are seeing ever broader use and are as varied as the hiring practices themselves, ranging from resume screeners that claim to identify promising applicantsa to video and voice analysis tools that facilitate the interview processb and game-based assessments that promise to surface personality traits indicative of future success.c Bogen and Rieke5 describe the hiring process from the employer's point of view as a series of decisions that forms a funnel, with stages corresponding to sourcing, screening, interviewing, and selection. The hiring funnel is an example of an automated decision system--a data-driven, algorithm-assisted process that culminates in job offers to some candidates and rejections to others. The popularity of automated hiring systems is due in no small part to our collective quest for efficiency.
Greg Nichols covers robotics, AI, and AR/VR for ZDNet. A full-time journalist and author, he writes about tech, travel, crime, and the economy for global media outlets and reports from across the U. Uber Eats is turning to autonomous vehicles in a major market. Along with AV partner Motional, the third-party delivery platform will be launching a new autonomous delivery experience in Santa Monica, California. Deliveries will be conducted in Motional's IONIQ 5 vehicles, which are capable of operating autonomously. Participating restaurants bring packaged orders to the curb and place them inside a locking compartment.
Almost exactly a year ago, Google launched its Tensor Processing Unit (TPU) v4 chips at Google I/O 2021, promising twice the performance compared to the TPU v3. At the time, Google CEO Sundar Pichai said that Google's datacenters would "soon have dozens of TPU v4 Pods, many of which will be operating at or near 90 percent carbon-free energy." Now, at Google I/O 2022, Pichai revealed the blue-ribbon fruit of those labors: a TPU v4-powered datacenter in Mayes County, Oklahoma, that Google says is the world's largest publicly available machine learning hub. "This machine learning hub has eight Cloud TPU v4 Pods, custom-built on the same networking infrastructure that powers Google's largest neural models," Pichai said. Google's TPU v4 Pods consist of 4,096 TPU v4 chips, each of which delivers 275 teraflops of ML-targeted bfloat16 ("brain floating point") performance.
Uber continues to show that it has grand ambitions that go far beyond the ride-sharing service that it first became known for. At the company's second annual, product-focused Go/Get event, Uber announced a host of new features focused primarily on expanding its offerings in both the travel and delivery categories. Travel may sound obvious, given Uber's background, but probably the most notable new offering is simply called Uber Travel; its focus is helping you get around when you're not in your home city. It's an integration with Gmail that can pull details out of your inbox like hotel, flight and restaurant reservations and group it together in the Uber app. The point, of course, is that you can then schedule rides for each of these events, and Uber will give 10 percent back in Uber Cash when you do.
Uber Eats is launching not just one but two autonomous delivery pilots today in Los Angeles, TechCrunch has reported. The first is via an autonomous vehicle partnership with Motional, originally announced in December, and the second is with sidewalk delivery firm Serve Robotics, a company that spun out of Uber itself. The trials will be limited, with deliveries from just a few merchants including the Kreation juicery and organic cafe. Serve will do short delivery routes in West Hollywood, while Motional will take care of longer deliveries in Santa Monica. "We'll be able to learn from both of those pilots what customers actually want, what merchants actually want and what makes sense for delivery," an Uber spokesperson told TechCrunch.
Whether it's a romantic weekend away or a relaxing spa break, many of us have enjoyed being able to travel again following the Covid-19 pandemic. If you're planning any holidays, Google Maps' latest feature could be just the thing to make sure the destination passes the'vibe' check first. The app has launched a new'immersive view' tool that combines Street View and aerial images to allow you to virtually explore neighbourhoods. 'With our new immersive view, you'll be able to experience what a neighbourhood, landmark, restaurant or popular venue is like -- and even feel like you're right there before you ever set foot inside,' Miriam Daniel, VP of Google Maps, explained. 'So whether you're traveling somewhere new or scoping out hidden local gems, immersive view will help you make the most informed decisions before you go.'
Many of today's business challenges revolve around two core topics: navigating digital transformation and retaining talent. The latest insights from MIT Sloan Management Review focus on looking past common misconceptions about digital initiatives, setting the right KPIs for digital transformation success, and changing corporate culture and business operations so employees are more likely to stay. Just as today's business leaders should rethink common assumptions about the world of work and re-examine customer expectations, they may also need a new mindset about driving change. MIT Sloan senior lecturer George Westerman identifies four managerial assumptions about digital transformation that prevent enterprises from reaching their true potential. This emphasizes digital but not transformation -- the more difficult (and more important) element to address.
Google has become synonymous with powerful search, incredible hardware, and quirky, fun technology. Unfortunately, that includes stretching the limits of privacy and a reputation for giving up on its product lines too soon. But these negatives notwithstanding, Google is at it again at its Google I/O event near its company headquarters in Mountain View, Calif., enticing developers and consumers alike with a number of new hardware products, software and services. Yes, Google just revealed new Pixel phones, including the Pixel 6A and the Pixel 7. But those weren't the coolest technologies Google showed off on Wednesday.
Stephanie Condon is a senior staff writer for Red Ventures based in Portland, Oregon, covering business technology for ZDNet. Last year, Google unveiled LaMDA, an experimental natural language platform that's designed to engage in natural, free-flowing conversations. On Wednesday at Google I/O, the company showcased LaMDA 2. During the I/O keynote, Google CEO Sundar Pichai called it Google's "most advanced conversational AI yet." The tech giant is working on LaMDA and other models to improve Search, Google Assistant, and other tools. "We need people to experience the technology and provide feedback," Pichai said.