OK, so you have to say it with a smile, no matter what you're saying, because the shape of your mouth makes a difference.

Technology use often goes wrong, Parsons notes, "because we're too focused on either our own ideas of what good looks like or on one particular audience as opposed to a broader audience." That may look like an app developer building only for an imagined customer who shares his geography, education, and affluence, or a product team that doesn't consider what damage a malicious actor could wreak in their ecosystem. "We think people are going to use my product the way I intend them to use my product, to solve the problem I intend for them to solve in the way I intend for them to solve it," says Parsons. "But that's not what happens when things get out in the real world." AI, of course, poses some distinct social and ethical challenges. Some of the technology's unique challenges are inherent in the way that AI works: its statistical rather than deterministic nature, its identification and perpetuation of patterns from past data (thus reinforcing existing biases), and its lack of awareness about what it doesn't know (resulting in hallucinations).

Writers are protesting against studios' use of AI language models to write scripts. Actors are on strike after rejecting a proposal from companies seeking to use AI technology to scan people's faces and bodies, and own the right to use these deepfake-style digital copies without consent or compensation in perpetuity. What connects these cases is a fear that humans will be replaced by computer programs, and a feeling that there's very little we can do about it. Our lax approach to regulating the excesses of the previous tech boom means AI companies have felt safe building and launching products that are exploitative and harmful. But that is about to change.

"I've always thought of AI [artificial intelligence] as the most profound technology humanity is working on. More profound than fire or electricity or anything that we've done in the past," said Sundar Pichai, the CEO of Google and its parent company Alphabet. The 50-year-old Pichai gave 60 Minutes correspondent Scott Pelley rare access to the inner workings of Google's AI development, which includes robots that have acquired skills through machine learning and Project Starline, an AI video conferencing experience Google is developing to allow people to feel as though they are together, despite being in different locations. Perhaps Google's most anticipated and noteworthy foray into AI is its chatbot, Bard. The company presently calls it an experiment, in part to do more internal testing.

Hollywood has colourful notions about artificial intelligence (AI). The popular image is a future where robot armies spontaneously turn to malevolence, pitching humanity in a battle against extinction. In reality, the risks posed by AI today are more insidious and harder to unpick. They are often a by-product of the technology's seemingly endless application in modern society and increasing role in everyday life, perhaps best highlighted by Microsoft's latest multi-billion-dollar investment into ChatGPT-maker OpenAI. Either way, it's unsurprising that AI generates so much debate, not least in how we can build regulatory safeguards to ensure we master the technology, rather than surrender control to the machines. Right now, we tackle AI using a patchwork of laws and regulations, as well as guidance that doesn't have the force of law. Against this backdrop, it's clear that current frameworks are likely to change – perhaps significantly.

Lots of people come to me with questions about AI art. I was interested in the above question because of the topic. Children today are growing up with iPads and are used to digital interactions. As a result, children are becoming more and more dependent on ML algorithms. I am serious about changing this mindset.

This story is about how the AI can help make all children--with any starting point--become prodigies in thinking. AI is by its nature an exponential process

The Council of Europe has recently adopted key resolutions concerning AI and its intersection with media and journalism. Should computers write the news? If AI tools remove deliberately misleading information, is that an infringement of freedom of expression, or does it protect public discourse? During the recent Council of Europe Ministerial Conference (10 and 11 June), a final declaration and four resolutions were adopted to address these worries. The resolution domains included digital technologies, safety of journalists, the changing media and information environment, and the impact of the Covid-19 pandemic on freedom of expression.

Cybersecurity failure could be among the greatest challenges confronting the world in the next decade, according to the World Economic Forum's Global Risks Report 2021. As artificial intelligence (AI) becomes increasingly embedded worldwide, fresh questions arise about how to safeguard countries and systems against attacks. To deal with the vulnerabilities of AI, engineers and developers need to evaluate existing security methods, develop new tools and strategies, and formulate technical guidelines and standards, said Arndt Von Twickel, Technical Officer at Germany's Federal Office for Information Security (BSI), at a recent AI for Good webinar. So-called "connectionist AI" systems support safety-critical applications like autonomous driving, which is set to be allowed on United Kingdom roads this year. Despite reaching "superhuman" performance levels in complex tasks like manoeuvring a vehicle, AI systems can still make critical mistakes based on misunderstood inputs.

Cybersecurity failure could be among the greatest challenges confronting the world in the next decade, according to the World Economic Forum's Global Risks Report 2021. As artificial intelligence (AI) becomes increasingly embedded worldwide, fresh questions arise about how to safeguard countries and systems against attacks. To deal with the vulnerabilities of AI, engineers and developers need to evaluate existing security methods, develop new tools and strategies, and formulate technical guidelines and standards, said Arndt Von Twickel, Technical Officer at Germany's Federal Office for Information Security (BSI), at a recent AI for Good webinar. So-called "connectionist AI" systems support safety-critical applications like autonomous driving, which is set to be allowed on United Kingdom roads this year. Despite reaching "superhuman" performance levels in complex tasks like manoeuvring a vehicle, AI systems can still make critical mistakes based on misunderstood inputs.