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NEW YORK /PRNewswire/ — Today, TIME reveals the inaugural TIME100 AI, a new list highlighting the 100 most influential people in artificial intelligence.

The 2023 TIME100 AI issue features a worldwide cover with illustrations by Neil Jamieson for TIME, featuring 28 list-makers including Sam Altman of OpenAI, Dario and Daniela Amodei of Anthropic, Demis Hassabis of Google DeepMind, and more from the new list.

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Published alongside the TIME100 AI are in-depth profiles and interviews with musician Holly Herndon, co-founder of character.ai Noam Shazeer, world-renowned researcher Geoffrey Hinton, president of Signal Meredith Whittaker, co-founder and chief AGI scientist of Google DeepMind Shane Legg, co-founder and president of OpenAI Greg Brockman, co-founder and chief scientist of OpenAI Ilya Sutskever, co-founder of Schmidt Futures Eric Schmidt, science fiction writer Ted Chiang, policy adviser Alondra Nelson and more.

• See the complete 2023 TIME100 AI list: https://time.com/collection/time100-ai/
• See the TIME100 AI cover: https://bit.ly/3Lf3dJE 

To assemble the list, TIME’s editors and reporters solicited nominations and recommendations from industry leaders and dozens of expert sources. The result is a list of 100 leaders, pioneers, innovators and thinkers who are shaping today’s AI landscape.

“TIME’s mission is to highlight the people and ideas that are making the world a better, more equitable place,” said TIME Chief Executive Officer Jessica Sibley. “At this critical moment of exceptional growth and advancement in AI, we are proud to reveal the first-ever TIME100 AI list to recognize the individuals leading AI innovation, including those advancing major conversations to promote equity in AI.”

Of the inaugural TIME100 AI list, TIME Editor-in-Chief Sam Jacobs writes: “Reporting on people and influence is what TIME does best. That led us to the TIME100 AI.…This group of 100 individuals is in many ways a map of the relationships and power centers driving the development of AI. They are rivals and regulators, scientists and artists, advocates and executives—the competing and cooperating humans whose insights, desires, and flaws will shape the direction of an increasingly influential technology.” https://bit.ly/3r0lgfH

HIGHLIGHTS FROM THE 2023 TIME100 AI LIST: 

The 2023 TIME100 AI list features 43 CEOs, founders and co-founders: Elon Musk of xAI, Sam Altman of OpenAI, Andrew Hopkins of Exscientia, Nancy Xu of Moonhub, Kate Kallot of Amini, Pelonomi Moiloa of Lelapa AI, Jack Clark of Anthropic, Raquel Urtasan of Waabi, Aidan Gomez of Cohere and more.

The list features 41 women and nonbinary individuals, including: CEO & co-founder of Humane Intelligence Rumman Chowdhury, cognitive scientist Abeba Birhane, COO of Google DeepMind Lila Ibrahim, General Manager of the Data Center and AI Group at Intel Sandra Rivera, chief AI ethics scientist at Hugging Face Margaret Mitchell, Stanford professor Fei-Fei Li, artist Linda Dounia Rebeiz, artist Kelly McKernan and more.

The youngest individual recognized on the TIME100 AI list is 18-year-old Sneha Revanur, who recently met with the Biden Administration as part of her work leading Encode Justice, a youth-led movement organizing for ethical AI. On the other end is 76-year-old Geoffrey Hinton, who left his position at Google this spring to speak freely about the dangers of the technology he helped bring into existence.

Policy-makers and government officials on this year’s list include: U.S. representatives Anna Eshoo and Ted Lieu, chair of the U.K.’s AI Foundation Model Taskforce Ian Hogarth, Taiwan’s minister of digital affairs Audrey Tang, and the UAE’s minister for artificial intelligence Omar Al Olama.

Scientists, professors, researchers and activists recognized on the list include those focused on AI ethics, bias and safety: president of Future of Life Institute Max Tegmark, professor Emily M. Bender, professor Yoshua Bengio, professor and researcher Kate Crawford, researcher Yi Zeng, computer scientist and artist Joy Buolamwini, labor organizer Richard Mathenge, researcher Inioluwa Deborah Raji, researcher Timnit Gebru, and more.

Rootport, the anonymous author of Japanese manga, who used Midjourney to produce the first completely AI-illustrated Japanese comic.

The list also features creatives interrogating the influence of AI on society or experimenting with the technology including: musician Grimes, science fiction writer Ted Chiang, Black Mirror creator Charlie Brooker, filmmaker Lilly Wachowski, musician Holly Herndon, artist Linda Dounia Rebeiz, artist Sougwen Chung and more.

See the full TIME100 AI list here: https://time.com/collection/time100-ai/

TIME TO CONVENE SERIES OF EVENTS FOCUSED ON WOMEN IN AI 

Following the publication of the inaugural TIME100 AI list, TIME will host a series of new events that will convene leaders to facilitate meaningful conversations to drive impact with a focus on finding solutions to create a more inclusive future with AI.

TIME will host a series of TIME100 Talks showcasing the foundational role female leadership plays in AI innovation during Dreamforce on September 12-14. Featured speakers include Alondra Nelson, Fei-Fei Li and Ayanna Howard. 

With presenting partner Meta, TIME will convene the “TIME100 Impact Dinner: Women in AI” to spotlight influential leaders in AI in October. 

TIME will also host a special “TIME100 Talks” on the topic of AI accessibility and responsible AI in November, presented by Intel.

About TIME
TIME is the 100-year-old global media brand that reaches a combined audience of over 120 million around the world through its iconic magazine and digital platforms. With unparalleled access to the world’s most influential people, the trust of consumers and partners globally, and an unrivaled power to convene, TIME’s mission is to tell the essential stories of the people and ideas that shape and improve the world. Today, TIME also includes the Emmy Award^®-winning film and television division TIME Studios; a significantly expanded live events business built on the powerful TIME100 and Person of the Year franchises and custom experiences; TIME for Kids, which provides trusted news with a focus on news literacy for kids and valuable resources for teachers and families; the award-winning branded content studio Red Border Studios; an industry-leading web3 division; the website-building platform TIME Sites; the sustainability and climate action platform TIME CO2; the new e-commerce and content platform TIME Stamped, and more. 

SOURCE TIME

A recent study conducted by Ohio State University suggests that using artificial intelligence (AI) to help write messages to friends may have negative consequences on relationships. The research found that when participants discovered that their friend had used AI assistance or received help from another person to compose a message, they perceived less effort being put into the relationship. This perception not only affected the message itself but also had broader implications. Participants reported feeling less satisfied with their relationships and experienced increased uncertainty about where they stood with their friends.

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Interestingly, the study revealed that negative effects were observed even when participants learned that their friend had received assistance from another human. This suggests that people value the personal effort and investment put into maintaining relationships, rather than relying on external aids.

As AI chatbots like ChatGPT gain popularity, the issue of how to use them appropriately becomes more complex. The study involved 208 adults who were instructed to write messages to a fictional friend named Taylor, who then responded with a message that was either AI-assisted, assisted by another person, or solely written by Taylor. Participants who received AI-assisted replies rated them as less appropriate and improper, leading to decreased satisfaction and increased uncertainty about the friendship.

The study’s lead author, Bingjie Liu, emphasizes the importance of sincerity and authenticity in relationships. While most people may not disclose their use of AI to craft messages, Liu suggests that as AI technology becomes more prevalent, individuals may unknowingly question the authenticity of messages, potentially harming relationships.

Ultimately, the study highlights the value of putting in personal effort and avoiding shortcuts in maintaining meaningful connections. Technology should not be used solely for convenience; sincerity and authenticity remain fundamental in fostering strong and fulfilling relationships.

Journal Link: Journal of Social and Personal Relationships

https://www.newswise.com/articles/ai-can-help-write-a-message-to-a-friend-but-don-t-do-it?sc=lwhn&user=10022176

Newswise — Unparalleled speed, capacity and reliability of new fibre broadband technology, invented by UCL researchers, could provide connectivity needed for applications of the future such as driverless cars and drone fleets.

The study, published today in Nature Electronics, describes how the new telecommunications technology, called frequency referenced multiplexing, could provide more than 20 times the capacity of the best full fibre broadband networks available and 65 times the speed of typical current UK home broadband, along with a near-guaranteed connection and low latency¹.

Telecommunications networks are critical to the functioning of the Internet – they are the digital equivalent of roads carrying the data that connect us to the Cloud. The best networks use fibre optic cables to transmit and receive information. For the new full fibre broadband that is rolling out throughout the UK, time division multiplexing (TDM) is the most common technology used to manage traffic, which combines the data of multiple users into one signal. Each user is assigned short time slots in which their data can be transferred in small chunks, before the data is reassembled at the destination.

The key issue with TDM is that each user’s data needs to wait for a time slot before it can be transmitted through the fibre, like cars waiting until they can drive onwards at traffic lights. With current technology, this approach has been necessary to coordinate transmission through the fibre, but this also limits the available data capacity and increases the time taken to send data through the network.

The fastest full fibre broadband services available in the UK offer upwards of one gigabit per second (Gb/s) download speed, usually with a much slower upload speed. Uptake of full fibre broadband has increased dramatically in recent years with the roll out of fibre optic connections to homes and businesses across the country, but for most UK broadband users, the final part of the line that goes into their homes remains older, slower copper wiring.

Consequently, the average broadband speed in the UK in September 2022 was just 65.3 megabits per second (Mb/s).

Demand for faster speeds and more reliable connections have also increased massively, from the rise of streaming on demand entertainment to the increase in videoconferencing use by people working from home since the Covid-19 pandemic. But certain applications of the future, such as driverless car networks, will require even higher speeds and near-guaranteed connections to operate safely and efficiently.

In this study, researchers from UCL developed frequency-referenced multiplexing to overcome the latency and bandwidth restraints of current approaches such as TDM.

They used optical and clock frequency synchronisation, enabled by frequency comb and signal processing techniques, to provide each user with a dedicated optical channel. With this new approach, each user has the digital equivalent of their own dedicated road lane to communicate with the Cloud, with no need to wait at traffic lights. As a proof-of-concept, they set up a frequency referenced multiplexing system to provide up to 64 users with speeds of up to 4.3 Gb/s per user (or an aggregated speed of 240Gb/s for all users).

The authors hope that frequency-referenced multiplexing will be able to achieve more than 20 times the capacity and over 65 times the speed of current typical UK broadband. Because the user data is transmitted and received in parallel, this reduces the latency, power consumption, and capacity issues that arise with other approaches. This has the potential to lower the cost for future full fibre broadband, as well as increase the network availability and speed for every cloud user.

Associate Professor Zhixin Liu (UCL Electronic & Electrical Engineering), senior author of the study, said: “Some technology commentators are predicting networks of driverless cars and drone fleets in the not-too-distant future, all controlled from the Cloud. Our present telecommunications infrastructure isn’t equipped for such advancements, which necessitate guaranteed connectivity, minimal latency, synchronized clocks, and vastly improved speeds. Our research suggests that the frequency-referenced multiplexing approach can upgrade our fibre infrastructure to meet these technical demands.”

“In the short term, the technology has the potential to provide a much better home broadband service at a low infrastructure cost.”

Journal Link: Nature Electronics