You probably wouldn't notice if an AI chatbot slipped ads into its responses Hundreds of millions of people consult artificial intelligence chatbots on a daily basis for everything from product recommendations to romance, making them a tempting audience to target with potentially below-the-radar advertising. Indeed, our research suggests AI chatbots could easily be used for covert advertising to manipulate their human users. We are computer scientists who have been tracking AI safety and privacy for several years. In a study we published in an Association for Computing Machinery journal, we found that chatbots trained to embed personalized product ads in replies to queries influenced people's choices about products. And most participants didn't recognize that they were being manipulated.

U.S. political discourse seems to have fissioned into discrete bubbles, each reflecting its own distorted image of the world. Many blame machine-learning algorithms that purportedly maximize "engagement"--serving up content that keeps YouTube or Facebook users watching videos or scrolling through their feeds--for radicalizing users or strengthening their partisanship. Sociologist Shoshana Zuboff15 even argues that "surveillance capitalism" uses optimized algorithmic feedback for "automated behavioral modification" at scale, writing the "music" that users then "dance" to. There is debate whether such algorithms in fact maximize engagement (their objective functions also typically contain other desiderata). More recent research3 offers an alternative explanation, suggesting that people consume this content because they want it, independent of the algorithm.

The Parliament has in a statement said that "the EU has fallen behind in the global race for tech leadership. "There is a risk that standards will be developed elsewhere, often by non-democratic actors, while MEPs believe the EU needs to act as a global standard-setter in AI", the Parliament said. The MEPs identified policy options that could unlock AI's potential in health, the environment and climate change, to help combat pandemics and global hunger, and enhance people's quality of life through personalised medicine. MEPs say that, combined with the necessary support infrastructure, education and training, AI can increase capital and labour productivity, innovation, sustainable growth and job creation. However, several studies show citizens' hesitation and sometimes fear when facing the potential of artificial intelligence. "The EU should not always regulate AI as a technology and the level of regulatory intervention should be proportionate to the type of risk associated with the ...

When it comes to the use of face recognition by police, 31% of women are not certain whether it is a good or bad idea, compared with 22% of men. Women are more likely to support the inclusion of a wider variety of groups in AI design. Women are also more likely to say it is important that different racial and ethnic groups are included in the same AI design process (71% vs. 63%). Additionally, women are more doubtful than men that it is possible to design AI computer programs that can consistently make fair decisions in complex situations. Only around two-in-ten women (22%) think it is possible to design AI programs that can consistently make fair decisions, while a larger share of men (38%) say the same.

Women in the United States are more skeptical than men about some uses of artificial intelligence (AI), particularly the possible widespread use of driverless passenger vehicles, according to a new analysis of Pew Research Center survey data collected in November 2021. The analysis also finds gender differences in views about the overall impact that technology has on society and some safety issues tied to AI applications, as well as the importance of including different groups in the AI design process. Pew Research Center conducted this study to understand gender differences in Americans' views about artificial intelligence and human enhancement technologies. For this analysis, we surveyed 10,260 U.S. adults from Nov. 1-7, 2021. Everyone who took part in the survey is a member of the Center's American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses.

The damage is only stopped when the vast amount of content that makes it AI-powered moderation efforts like object detection and scene recognition is flagged by users and eventually reviewed by an actual person, often long after it's been widely viewed. It transpired in May that French and German YouTubers, bloggers, and influencers were offered cash by a supposedly UK-based PR agency with Russian connections to falsely tell their followers the Pfizer/BioNTech vaccine has a high death rate. While it's difficult to put much faith in the Taliban's claims that they'll treat women and children much better than their barbaric history suggests, it's always important for facts and genuine material to be separated from known fiction and misrepresented content no matter the issue or personal views. An image of CNN correspondent Omar Jimenez standing in front of a helicopter taking off in Afghanistan alongside the news caption "Violent but mostly peaceful transfer of power" was posted to various social networks over the weekend. Social media platforms can't become thought police, but where algorithms have detected manipulated content – and/or there is clear evidence of even real material being used for misleading purposes – it should be indisputable that action needs to be taken to support fair discussion and debate around genuine information.

As the Afghanistan crisis continues to unfold, it's clear that social media algorithms are unable to counter enough misleading and/or fake content. While it's unreasonable to expect that no disingenuous content will slip through the net, the sheer amount that continues to plague social networks shows that platform-holders still have little grip on the issue. When content is removed, it should either be prevented from being reuploaded or at least flagged as potentially misleading when displayed to other users. Too often, another account – whether real or fake – simply reposts the removed content so that it can continue spreading without limitation. The damage is only stopped when the vast amount of content that makes it AI-powered moderation efforts like object detection and scene recognition is flagged by users and eventually reviewed by an actual person, often long after it's been widely viewed.