Amazon is reportedly developing'humanoid' robots to pop out of delivery vans to deliver packages, eventually replacing the work of delivery drivers. Amazon is reportedly developing'humanoid' robots to pop out of delivery vans to deliver packages, eventually replacing the work of delivery drivers. O ne of the reasons Amazon is spending billions on robots? They don't need bathroom breaks. Arriving a few minutes early to the public tour of Amazon's hi-tech Stone Mountain, Georgia, warehouse, my request to visit the restroom was met with a resounding no from the security guard in the main lobby.

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As soon as Echo Park Eats opened on the corner of Sunset Boulevard and Douglas Street in the fall of 2023, Sandy Romero said her neighborhood became overrun with delivery drivers. "The first day that they opened business it was chaotic, unorganized and it's just such a nuisance now," she said. Echo Park Eats is a ghost kitchen, a meal preparation hub for app-based delivery orders. It rents its kitchens to 26 different food vendors. The facility is part of CloudKitchens, led by Travis Kalanick, co-founder of Uber Technologies, which has kitchen locations across the nation including 11 in Los Angeles County.

They rise to 70ft (21 metres), tilt forward and zip away in different directions, each carrying a paper bag. On a sleepy morning in the Irish capital the takeoffs build to a steady one every few minutes, with barely anyone glancing at the constant stream of aircraft buzzing back and forth. "No one's looking up – no one ever looks up," says the man responsible, Bobby Healy, the founder of the Dublin startup Manna Aero. People probably should take notice, because the drones are part of an effort to realise an ambition shared by Amazon, the Google sister company Wing and the Californian startup Zipline: instant, autonomous home delivery. Healy and his big-tech rivals hope drone delivery will change the course of the retail industry across Ireland, and then into the UK as soon as this year.

Amazon is reportedly developing smart glasses for its delivery drivers, according to sources who spoke to Reuters. These glasses are intended to cut "seconds" from each delivery because, well, productivity or whatever. Sources say that they are an extension of the pre-existing Echo Frames smart glasses and are known by the internal code Amelia. These seconds will be shaved off in a couple of ways. First of all, the glasses reportedly include an embedded display to guide delivery drivers around and within buildings.

Automotive insurers increasingly have access to telematic information via black-box recorders installed in the insured vehicle, and wish to identify undesirable behaviour which may signify increased risk or uninsured activities. However, identification of such behaviour with machine learning is non-trivial, and results are far from perfect, requiring human investigation to verify suspected cases. An appropriately formed priority score, generated by automated analysis of GPS data, allows underwriters to make more efficient use of their time, improving detection of the behaviour under investigation. An example of such behaviour is the use of a privately insured vehicle for commercial purposes, such as delivering meals and parcels. We first make use of trip GPS and accelerometer data, augmented by geospatial information, to train an imperfect classifier for delivery driving on a per-trip basis. We make use of a mixture of Beta-Binomial distributions to model the propensity of a policyholder to undertake trips which result in a positive classification as being drawn from either a rare high-scoring or common low-scoring group, and learn the parameters of this model using MCMC. This model provides us with a posterior probability that any policyholder will be a regular generator of automated alerts given any number of trips and alerts. This posterior probability is converted to a priority score, which was used to select the most valuable candidates for manual investigation. Testing over a 1-year period ranked policyholders by likelihood of commercial driving activity on a weekly basis. The top 0.9% have been reviewed at least once by the underwriters at the time of writing, and of those 99.4% have been confirmed as correctly identified, showing the approach has achieved a significant improvement in efficiency of human resource allocation compared to manual searching.

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.

A new California law designed to prevent the warehouse industry from overworking employees doesn't name a specific company. But the legislation's target is clear: Amazon, which has given machines unparalleled control over workers and is accused of using the technology to impose unreasonable demands on them. Authored by Assemblywoman Lorena Gonzalez, the bill prohibits the use of monitoring systems that thwart basic worker rights such as rest periods, bathroom breaks and safety. The legislation will help determine whether governments can regulate human resources software that's expected to play an increasing role in deciding who gets hired and fired, how much workers are paid and how hard they work. "This is just the beginning of our work to regulate Amazon & its algorithms that put profits over workers' safety," Gonzalez, a San Diego Democrat, tweeted earlier this year.

Monitoring of workers and setting performance targets through algorithms is damaging employees' mental health and needs to be controlled by new legislation, according to a group of MPs and peers. An "accountability for algorithms act'" would ensure that companies evaluate the effect of performance-driven regimes such as queue monitoring in supermarkets or deliveries-per-hour guidelines for delivery drivers, said the all-party parliamentary group (APPG) on the future of work. "Pervasive monitoring and target-setting technologies, in particular, are associated with pronounced negative impacts on mental and physical wellbeing as workers experience the extreme pressure of constant, real-time micro-management and automated assessment," said the APPG members in their report, the New Frontier: Artificial Intelligence at Work. The report recommends bringing in a new algorithms act, which it says would establish "a clear direction to ensure AI puts people first". It warns that "use of algorithmic surveillance, management and monitoring technologies that undertake new advisory functions, as well as traditional ones, has significantly increased during the pandemic".

Abiodun Ogunyemi has been an Uber Eats delivery driver since February 2020. But since March he has been unable to work due to what a union supporting drivers claims is a racially-biased algorithm. Ogunyemi, who is Black, had submitted a photograph of himself to confirm his identity on the app, but when the software failed to recognize him, he was blocked from accessing his account for "improper use of the Uber application." Ogunyemi is one of dozens of Uber drivers who have been prevented from working due to what they say is "racist" facial verification technology. Uber uses Microsoft Face API software on its app to verify drivers' identification, asking drivers to submit new photos on a regular basis.