Group items tagged

"It's clear that surveillance affects a broad group of people, with real painful consequences for their lives. We've seen journalists being monitored, lawyers having their client confidentiality broken, victims of police misconduct being spied on and environmental campaigns infiltrated. These people are not criminals, and yet when we have a system of mass surveillance, they become targets for increasingly intrusive powers. "

""In the 2020 general election, secure online voting should be an option for all voters," said the report. In response, the Electoral Commission's chair, Jenny Watson, said: "We will consider carefully the balance between maintaining the security of the system, whilst making it as accessible as possible for voters as part of this.""

"Halifax's system, which is currently at the proof-of-concept stage, uses a piece of wearable technology known as the Nymi band; it monitors and stores a user's heartbeat via an electrocardiogram (ECG). Users must wear the Nymi on one wrist, and touch its top sensor with the opposite hand for it to work. The Nymi pairs with a smartphone via Bluetooth, using a companion app for Windows, Mac, iOS and Android. Removal of the wristband invalidates biometric authentication."

"The UK is opposing an international ban on so-called "killer robots" at a United Nations conference that is this week examining future developments of what are officially termed lethal autonomous weapons systems (Laws)."

"The US government is researching technology that it hopes will turn soldiers into cyborgs, allowing them to connect directly to computers. The US military's Defense Advanced Research Projects Agency (Darpa) has unveiled a research programme called Neural Engineering System Design (NESD) which aims to develop an implantable neural interface, connecting humans directly to computers."

"Atlas is a semi-autonomous system. The operator tells the robot where to be and what position to take, such as where to put its hands on a vacuum cleaner, and then the robot comes up with a plan of how to do that. For some chores Atlas's actions are logical and human-like. Others require re-thinking of how to get the job done in a way that its quite different to the way a person would perform the action."

"O'Neill recounts an exercise to improve service to homeless families in New York City, in which data-analysis was used to identify risk-factors for long-term homelessness. The problem, O'Neill describes, was that many of the factors in the existing data on homelessness were entangled with things like race (and its proxies, like ZIP codes, which map extensively to race in heavily segregated cities like New York). Using data that reflects racism in the system to train a machine-learning algorithm whose conclusions can't be readily understood runs the risk of embedding that racism in a new set of policies, these ones scrubbed clean of the appearance of bias with the application of objective-seeming mathematics. "

""Could teaching be trumped by a learning machine? Are we beginning to glimpse the possibility of machines that teach themselves to teach? They learn what works, what doesn't and deliver ever better performance. We see the embryonic evidence for this in adaptive learning systems, that are truly algorithmic, and do use machine learning, to improve as they deliver. The more students they teach, the better they get. They even tech themselves. This is not science fiction. This is real AI, in real software, delivering real courses, in real institutions." - Donald Clark"

"To date, activity trackers have been used medically only to encourage or monitor patient activity, particularly in conjunction with weight loss programs.5, 6 To our knowledge, this is the first report to use the information in an activity tracker-smartphone system to assist in specific medical decisionmaking."

"The president of Baidu, Ya-Qin Zhang, said in a statement: "As AI technology keeps advancing and the application of AI expands, we recognise the importance of joining the global discussion around the future of AI. Ensuring AI's safety, fairness and transparency should not be an afterthought but rather highly considered at the onset of every project or system we build.""

"The development of autonomous military systems - dubbed "killer robots" by campaigners opposed to them - is deeply contentious. Earlier this year, Google withdrew from the Pentagon's Project Maven, which uses machine learning to analyse video feeds from drones, after ethical objections from the tech giant's staff. The government insists it "does not possess fully autonomous weapons and has no intention of developing them". But, since 2015, the UK has declined to support proposals put forward at the UN to ban them. Now, using government data, Freedom of Information requests and open-source information, a year-long investigation reveals that the MoD and defence contractors are funding dozens of artificial intelligence programmes for use in conflict."

""My concern is that a facial recognition rejection can [create] bias," said Rudolph. "So, if someone has a lot of faith in this technology and thinks that it's foolproof, and someone is rejected by this system, that customs officer or gate agent may be predisposed to saying this person is traveling with fraudulent credentials. That's a crime and a serious issue.""

"The bitcoin blockchain was created, in part, to address this historical weakness. After the 21 millionth bitcoin is mined, in around 2140, the system will produce no more."

"The future of human flourishing depends upon facial recognition technology being banned before the systems become too entrenched in our lives."

"Cybersecurity experts have warned for years that malfeasance, technical breakdown or administrative incompetence could easily wreak havoc with electronic systems and could go largely or wholly undetected. This is a concern made much more urgent by Russia's cyber-attacks on political party servers and state voter registration databases in 2016 and by the risk of a repeat - or worse - in this November's midterms. "

"The groundbreaking artificial intelligence system, developed by the AI-outfit DeepMind with Moorfields eye hospital NHS foundation trust and University College London, was capable of correctly referring patients with more than 50 different eye diseases for further treatment with 94% accuracy, matching or beating world-leading eye specialists."

"These exploits are based on chip engineering flaws, not on software flaws. Apple, Google, Abode, Microsoft, and other software companies didn't write poor software or bad Operating Systems to cause these problems to occur. Rather, the chip manufacturers - Intel, AMD and ARM - designed and then engineered computer chips with flaws built into them. Once discovered, those flaws allow the Meltdown and Spectre exploits to be run. Worse, these chips have been sold with consumer computers, servers and mobile devices since 1995. so the impact is, potentially, both personal and global in scope."

"Customers will be able to use a "Smile to Pay" facial recognition system at the tech-heavy, health-focused concept store, part of a drive by Yum China Holdings Inc to lure a younger generation of consumers. "

"Affectiva is running a program that pays drivers to help train its emotion-recognition system. The company sends drivers a kit including cameras and other sensors to place within their vehicles. These record a person's facial expressions, gestures, and tone of voice on the road. That data is then labeled by trained specialists for a range of emotions, and fed into deep neural networks."

"The platform's automated tools may have mistaken the visuals of the burning building for 9/11 footage, according to Vagelis Papalexakis, an assistant professor of computer science and engineering at the University of California, Riverside who studies machine learning used in similar systems."