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"Researchers call these design and wording decisions "dark patterns," a term applied to UX that tries to manipulate your choices. When Instagram repeatedly nags you to "please turn on notifications," and doesn't present an option to decline? That's a dark pattern. When LinkedIn shows you part of an InMail message in your email, but forces you to visit the platform to read more? Also a dark pattern. When Facebook redirects you to "log out" when you try to deactivate or delete your account? That's a dark pattern too."

"Microsoft's decision to replace human journalists with robots has backfired, after the tech company's artificial intelligence software illustrated a news story about racism with a photo of the wrong mixed-race member of the band Little Mix."

"The decisions are significant because Google has reported massive growth in law enforcement use of such "geofence" searches. Google says there was a 1,500-percent increase between 2017 and 2018 and a further 600-percent jump from 2018 to 2019. That's a hundredfold increase in two years. Google received 180 geofence search requests a week during 2019, according to CNet."

""There has been a high degree of improvisation in the rollout of Chivo and a great deal of opacity," says Ricardo Castaneda, a local economist. "The app asks for access to your microphone and your contacts, which are not needed for a wallet. Bitcoin might be a distraction but given the decision to push ahead with the plan despite popular opposition and the advice of experts, it could also be an important pillar of Bukele's political project.""

"Tech companies around the world appeared to listen. The very public and very swift removal of Russian channels on social media represented a sea change from years of prior content moderation decisions, when government requests for removals were often done with less fanfare and were frequently met with ire from human rights groups."

"The US battle with TikTok over data privacy concerns and Chinese influence has been heating up for years, and recent measures have brought college campuses to the forefront - with a number of schools banning the app entirely on campus wifi. Students have responded, of course, on TikTok. Taking advantage of viral sounds, they have expressed outrage at their favourite app being blocked at universities like Auburn, Oklahoma and Texas A&M in the past few months. "Do they not realize people in college are actually adults?" one user wrote. "We should make our own independent decision to use TikTok or not," another said."

"The first paper turns the tables on the trend for job applicants to be screened by algorithms. The researchers assigned some applicants "algorithmic writing assistance" with their CVs or covering letters to see if it influenced employers' decisions. But obviously those of us who do lots of recruiting would never be affected by such small changes… would we? I'm afraid so. Jobseekers who had the tech help were 8% more likely to get hired. Sigh."

"If you've been job hunting recently, chances are you've interacted with a resume robot, a nickname for an Applicant Tracking System, or ATS. In its most basic form, an ATS acts like an online assistant, helping hiring managers write job descriptions, scan resumes and schedule interviews. As artificial intelligence advances, employers are increasingly relying on a combination of predictive analytics, machine learning and complex algorithms to sort through candidates, evaluate their skills and estimate their performance. Today, it's not uncommon for applicants to be rejected by a robot before they're connected with an actual human in human resources. The job market is ripe for the explosion of AI recruitment tools. Hiring managers are coping with deflated HR budgets while confronting growing pools of applicants, a result of both the economic downturn and the post-pandemic expansion of remote work. As automated software makes pivotal decisions about our employment, usually without any oversight, it's posing fundamental questions about privacy, accountability and transparency."

"Schwartz told the court that he "greatly regrets" using ChatGPT to do his research for the case "and will never do so in the future without absolute verification of its authenticity." Judge Castel, however, doesn't seem swayed, and in his May 4 order he in no uncertain terms described the gravity of the situation. "The Court is presented with an unprecedented circumstance," reads the judge's order for a future hearing. "A submission filed by plaintiff's counsel in opposition to a motion to dismiss is replete with citations to non-existent cases... six of the submitted cases appear to be bogus judicial decisions with bogus quotes and bogus internal citations.""

"The constitutional right to safe, legal abortion has evaporated following the recent Supreme Court decision. Some states with so-called "trigger bans" have immediately criminalized abortion. Next, Congress may seek to criminalize abortion in all 50 states, putting the government in control of peoples' bodies. Google is fully complicit in the criminalization of people seeking abortion care. That's because Google stores historical location data about hundreds of millions of smartphone users, which it routinely shares with government agencies through "geofence" orders that unmask the identities of anyone who traveled to a specific place at a specific time-like an abortion clinic on a specific day. Google received 11,554 such geofence warrants in 2020."

"Perkins' report offers a dizzying list of data the TikTok app can access while it's running, including the device location, calendar, contacts, other running applications, wi-fi networks, phone number and even the SIM card serial number. He concludes: For the TikTok application to function properly, most of the access and device data collection is not required. This leads us to believe that the only reason this information has been gathered is for data harvesting. It is also notable that the device only needs to ask the user for permission to perform each of these actions once and then follow the user's preferences. The application however has a culture of persistent access or continuously asking for a decision reversal by the user. The hourly checking of location is also unnecessary. Finally, device mapping, external storage access, contacts and third-party applications data collection allows TikTok the ability to reimage the phone in the likeness of the original device."

"Nepal has said it will ban TikTok, citing negative effects on the country's "social harmony". The popular video-sharing platform, which has around a billion monthly users, has faced restrictions in many countries for alleged breaches of data rules and for the potentially harmful impact on youth of some content. "The decision to ban was made today, and relevant authorities are currently addressing the technical issues," the minister for communications and information technology, Rekha Sharma, said on Monday."

"OpenAI has "discussed and debated quite extensively" when to release a tool that can determine whether an image was made with DALL-E 3, OpenAI's generative AI art model, or not. But the startup isn't close to making a decision anytime soon. That's according to Sandhini Agarwal, an OpenAI researcher who focuses on safety and policy, who spoke with TechCrunch in a phone interview this week. She said that, while the classifier tool's accuracy is "really good" - at least by her estimation - it hasn't met OpenAI's threshold for quality."

"Artificial Intelligence has the ability to perform illegal financial trades and cover it up, new research suggests. In a demonstration at the UK's AI safety summit, a bot used made-up insider information to make an "illegal" purchase of stocks without telling the firm. When asked if it had used insider trading, it denied the fact. Insider trading refers to when confidential company information is used to make trading decisions. Firms and individuals are only allowed to use publicly-available information when buying or selling stocks. "

""As expected, we found evidence of a performance improvement over generations due to social learning," the researchers wrote. "Adding an algorithm with a different problem-solving bias than humans temporarily improved human performance but improvements were not sustained in following generations. While humans did copy solutions from the algorithm, they appeared to do so at a lower rate than they copied other humans' solutions with comparable performance." Brinkmann told Motherboard that while they were surprised superior solutions weren't more commonly adopted, this was in line with other research suggesting human biases in decision-making persist despite social learning. Still, the team is optimistic that future research can yield insight into how to amend this."

"Among other things, the declaration states that military AI needs to be developed according to international laws, that nations should be transparent about the principles underlying their technology, and that high standards are implemented for verifying the performance of AI systems. It also says that humans alone should make decisions around the use of nuclear weapons."

"Ege Gürdeniz: There are two components to Artificial Intelligence (AI) bias. The first is an AI application making biased decisions regarding certain groups of people. This could be ethnicity, religion, gender, and so on. To understand that we first need to understand how AI works and how it's trained to complete specific tasks."

"Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now."

"Do the potential paying customers for these large models add up to enough money to keep the servers on? That's the 13 trillion dollar question, and the answer is the difference between WorldCom and Enron, or dotcoms and cryptocurrency. Though I don't have a certain answer to this question, I am skeptical. AI decision support is potentially valuable to practitioners. Accountants might value an AI tool's ability to draft a tax return. Radiologists might value the AI's guess about whether an X-ray suggests a cancerous mass. But with AIs' tendency to "hallucinate" and confabulate, there's an increasing recognition that these AI judgments require a "human in the loop" to carefully review their judgments. In other words, an AI-supported radiologist should spend exactly the same amount of time considering your X-ray, and then see if the AI agrees with their judgment, and, if not, they should take a closer look. AI should make radiology more expensive, in order to make it more accurate. But that's not the AI business model. AI pitchmen are explicit on this score: The purpose of AI, the source of its value, is its capacity to increase productivity, which is to say, it should allow workers to do more, which will allow their bosses to fire some of them, or get each one to do more work in the same time, or both. The entire investor case for AI is "companies will buy our products so they can do more with less." It's not "business custom­ers will buy our products so their products will cost more to make, but will be of higher quality.""

""After cutting me off, the AI would respond, 'Great! Sounds good! Perfect!' and move on to the next question," Ty said. "After the third or fourth question, the AI just stopped after a short pause and told me that the interview was completed and someone from the team would reach out later." (Ty asked that their last name not be used because their current employer doesn't know they're looking for a job.) A survey from Resume Builder released last summer found that by 2024, four in 10 companies would use AI to "talk with" candidates in interviews. Of those companies, 15% said hiring decisions would be made with no input from a human at all."