Strap In, It's About to Get Ugly There Are a Few Big Problems With That. The company launched a multimillion-dollar campaign to fight worker protections and invest in delivery robots. Enter your email to receive alerts for this author. You can manage your newsletter subscriptions at any time. You're already subscribed to the aa_Nitish_Pahwa newsletter.

Crowdsourced on-demand services offer benefits such as reduced costs, faster service fulfillment times, greater adaptability, and contributions to sustainable urban transportation in on-demand delivery contexts. However, the success of an on-demand platform that utilizes crowdsourcing relies on finding a compensation policy that strikes a balance between creating attractive offers for gig workers and ensuring profitability. In this work, we examine a dynamic pricing problem for an on-demand platform that sets request-specific compensation of gig workers in a discrete-time framework, where requests and workers arrive stochastically. The operator's goal is to determine a compensation policy that maximizes the total expected reward over the time horizon. Our approach introduces compensation strategies that explicitly account for gig worker request preferences. To achieve this, we employ the Multinomial Logit model to represent the acceptance probabilities of gig workers, and, as a result, derive an analytical solution that utilizes post-decision states. Subsequently, we integrate this solution into an approximate dynamic programming algorithm. We compare our algorithm against benchmark algorithms, including formula-based policies and an upper bound provided by the full information linear programming solution. Our algorithm demonstrates consistent performance across diverse settings, achieving improvements of at least 2.5-7.5% in homogeneous gig worker populations and 9% in heterogeneous populations over benchmarks, based on fully synthetic data.

Benjamin Valdez, a rideshare driver with Uber and Lyft in the Los Angeles area, used to drive seven days a week when the gig was more lucrative--but he says he makes far less per ride these days. When Valdez started driving, around nine years ago, he told me that he could earn anywhere from 60 to 85 to drive from West Hollywood to downtown Los Angeles at peak surge, a roughly 6-to-10-mile trip depending on the specific route. Now, if "the stars align," he can earn between 25 and 35 for the same trip. "It's gotten harder and harder to make money," he said. In recent years, rideshare drivers like Valdez have experienced shrinking incomes as the companies continue to increase their cut from each ride.

And with it, so are the digital labor platforms used by many AI companies to employ human gig workers. Those people perform the vital but often unseen labor of generating or labeling the masses of data that AI systems heavily rely on--often as part of efforts to make AIs more reliable and less biased. Even as these workers take on the vital task of making modern AI safer, the companies that employ them are uniformly failing to meet even a basic threshold of labor rights standards, according to a new report from the University of Oxford's Internet Institute, shared exclusively with TIME. Researchers assessed 15 digital work platforms--among them Amazon Mechanical Turk, Scale AI and Appen--and found that all of them were "still far from safeguarding basic standards of fair work," according to the report. "While the run for AI deployments gets public hype and momentum, workers behind the design, building and testing of these technological solutions, unfortunately, still face enormous challenges and experience unfair working conditions," the report says.

The Uber app prompted Srikanth to try again, so he waited a few minutes and took another picture. "I was worried about bookings. We have daily targets where if we complete a certain number of bookings, we get incentives," Srikanth says. "I was anxious to log in and start driving, and not waste any time." So he tried once more.

Adrienne Williams and Milagros Miceli are researchers at the Distributed AI Research (DAIR) Institute. Timnit Gebru is the institute's founder and executive director. She was previously co-lead of the Ethical AI research team at Google. The public's understanding of artificial intelligence (AI) is largely shaped by pop culture -- by blockbuster movies like "The Terminator" and their doomsday scenarios of machines going rogue and destroying humanity. This kind of AI narrative is also what grabs the attention of news outlets: a Google engineer claiming that its chatbot was sentient was among the most discussed AI-related news in recent months, even reaching Stephen Colbert's millions of viewers.

Demand for freelance coders notched the second-biggest gain, up 45.5%, followed by back-end developers, up 37.7%, the firm said. Last month, by contrast, new job postings by U.S. employers for full-time IT workers fell 12% from August to roughly 300,000, according to IT trade group CompTIA. Yet beyond cost-cutting efforts, employers say they are responding to a growing talent pool of IT freelancers with niche skills in areas like artificial intelligence, which can be tapped for specific, short-term enterprise-technology tasks. "You're looking for highly specialized skills that you wouldn't particularly want to hire for, if it weren't for a given project," said Balaji Bondili, a managing director at accounting firm Deloitte. Deloitte is a sponsor of CIO Journal.

Uber is getting back into the robotaxi game, only this time it's tapping a third party to handle the self-driving tech. Motional, the Aptiv-Hyundai joint venture commercializing self-driving vehicle tech, will put its robotaxis on the Uber network later this year as part of a 10-year operating agreement that will eventually roll out to major cities across North America. The deal comes a year after the two companies struck a partnership to test autonomous delivery in Santa Monica, California using Motional's autonomous vehicles. As with the delivery pilot, the new agreement will feature Motional's all-electric Hyundai Ioniq 5-based autonomous vehicles. Uber and Motional have not disclosed where it will launch first.

Billboards surround the Bay Area and line LA highways, and you can't catch a train in NYC without running into an ad for a coin or exchange. A-listers like Gwyneth Paltrow are pushing crypto platforms, and this year's Super Bowl broadcast was studded with big-budget crypto spots, each trumpeting the opportunity to strike it rich. But despite their ubiquity and lavish expense, these ads routinely omit any description of what crypto is, or what any of the crypto companies that have paid to plaster our landscape are actually selling. While the industry has been good to lucky speculators with the disposable cash to risk and the time to figure out how to do so, it has little to offer the average person today. Crypto enthusiasts claim that the industry will revolutionize financial systems by decentralizing commerce, grabbing the reins from the banks that have betrayed us in the past and the Big Tech gatekeepers.

In The Feeling of Power, a story by celebrated American science fiction author Isaac Asimov, humanity has forgotten how to conduct even the simplest mathematical equations. In a distant future, complex machines conduct all operations, as men and women watch bewildered. Suddenly a man rediscovers pencil and paper arithmetic, empowering him to perform simple multiplications without relying on machine aid. Stunned by his new powers, he shares the discovery with Earth's government. The military establishment quickly seizes on the new powers to build a more effective, human-run space fleet to replace artificial intelligence and defeat Earth's enemy, planet Deneb.