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"Under the proposal, online platforms would have to spend hundreds of millions of euros on algorithmic copyright filters that would compare everything users tried to post with a database of supposedly copyrighted works, which anyone could add anything to, and block any suspected matches. This would snuff out all the small EU competitors to America's Big Tech giants, and put all Europeans' communications under threat of arbitrary censorship by balky, unaccountable, easily abused algorithms."

"Researchers fed these algorithms (which function like autocomplete, but for images) pictures of a man cropped below his neck: 43% of the time the image was autocompleted with the man wearing a suit. When you fed the same algorithm a similarly cropped photo of a woman, it auto-completed her wearing a low-cut top or bikini a massive 53% of the time. For some reason, the researchers gave the algorithm a picture of the Democratic congresswoman Alexandria Ocasio-Cortez and found that it also automatically generated an image of her in a bikini. (After ethical concerns were raised on Twitter, the researchers had the computer-generated image of AOC in a swimsuit removed from the research paper.)"

"Bias in Artificial Intelligence (AI) has been a popular topic over the last few years as AI-solutions have become more ingrained in our daily lives."

"Facebook is mired in a series of controversies about the curation of its news feed, from its broadcasting live killings, to editing out an iconic photo of the Vietnam war, to accusations of political bias. It recently tried to smooth the process out by firing its human editors … only to find the news feed degenerated into a mass of fake and controversial news stories."

"Researchers at Columbia University sought to shed light on the problem by tasking 400 AI engineers with creating algorithms that made over 8.2 million predictions about 20,000 people. In a study accepted by the NeurIPS 2020 machine learning conference, the researchers conclude that biased predictions are mostly caused by imbalanced data but that the demographics of engineers also play a role."

"Twitter has admitted it amplifies more tweets from rightwing politicians and news outlets than content from leftwing sources. The social media platform examined tweets from elected officials in seven countries - the UK, US, Canada, France, Germany, Spain and Japan. It also studied whether political content from news organisations was amplified on Twitter, focusing primarily on US news sources such as Fox News, the New York Times and BuzzFeed."

"Can AI ever be unbiased? As AI systems become more integrated into our daily lives, it's crucial that we understand the complexities of bias and how it impacts these technologies. From chatbots to hiring algorithms, the potential for AI to perpetuate and even amplify existing biases is a genuine concern. "

"To what extent do the decisions of these types of algorithms reflect the conscious or unconscious biases of their creators?"

"And that was a genuine first - the only time I can recall when an algorithmic decision had been challenged in public protests that were powerful enough to prompt a government climbdown. In a world increasingly - and invisibly - regulated by computer code, this uprising might look like a promising precedent."

"Admission algorithms can make or break your academic plans. A Washington Post investigation found 44 schools use prediction software to give applicants a score out of 100 for its admissions process. The score considers different aspects of a student's application from test scores, home address, transcripts, and even what websites they've visited. That's all calculated to rate how strong of a match a student is for a school."

"BEIJING: Handing over a piping hot meal at exactly the time promised, Chinese food delivery driver Zhuang Zhenhua triumphantly tapped his job as complete through the Meituan app -- and was immediately fined half of his earnings. A glitch meant it inaccurately registered him as being late and he incurred an automatic penalty -- one of many ways, he said, delivery firms exploit millions of workers even as the sector booms. Authorities have launched a crackdown demanding firms including Meituan and Alibaba's Ele.me ensure basic labour protections such as proper compensation, insurance, as well as tackling algorithms that effectively encourage dangerous driving."

"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. "

"These systems weren't set up to be biased; it's likely that they were simply trained on a subset of the diversity of accents and usages present in the United States. But, as we become ever more reliant on these systems, making them less frustrating for all their users should be a priority."

"However, since machine learning algorithms are what they eat (in other words, they function based on the training data they ingest), they inevitably end up picking up on human biases that exist in language data itself."

"That algorithm can make the app powerfully addictive and fun, but like other social media platforms, it may also be cutting out whole swaths of content that you'll never get to see. I ran an experiment by creating two fresh accounts on TikTok. With these accounts, the only bias they start with is knowing my location - Toronto - which brings up content made near me."

"In a survey of more than 4,200 people conducted by CAA, travelers most frequently cited being split from their party while traveling on Ryanair, but the airline insists that it doesn't employ a family-splitting algorithm. Ryanair says if a person doesn't pay for their seat assignment, they are "randomly" assigned, which may result in them not sitting with their party."

"Cellebrite, the Israeli-founded and now Japanese-owned company behind some of the software, claims a wider rollout would solve problems over failures to disclose crucial digital evidence that have led to the collapse of a series of rape trials and other prosecutions in the past year. However, the move by police has prompted concerns over privacy and the potential for software to introduce bias into processing of criminal evidence."

The ensuing controversy has sparked renewed debates about the ways in which algorithms can perpetuate biases, yielding unintended and often offensive results.

"There is little evidence to show algorithms by online firms are based on politics, and many conservatives - including Trump himself - have large a social media following. Analysts say it would be dangerous to try to regulate how search engines work to please a government or political faction."

"Amid mounting financial pressure, at least a dozen police forces are using or considering predictive analytics, despite warnings from campaigners that use of algorithms and "predictive policing" models risks locking discrimination into the criminal justice system."