Most news consumers in the United States and the United Kingdom would be uncomfortable with journalism produced mainly by artificial intelligence (AI), a survey has found. Only 23 percent of respondents in the US and 10 percent in the UK would be comfortable with AI-produced news, with consumers especially suspicious of the technology being used for sensitive topics such as politics and crime, the survey by the Reuters Institute for the Study of Journalism showed on Monday. Just over half of US respondents and 63 percent UK respondents said they would be uncomfortable with AI-led news, respectively, with 18 percent answering they would be neither comfortable nor uncomfortable. Respondents were least resistant towards using AI to generate text-based content, illustrations and stylised graphics, and most strongly opposed to the use of AI for creating realistic-looking photographs and video. "Our findings show audiences are most open to AI uses that are behind the scenes and areas where AI can help improve their experiences using news, providing more personalised and accessible information," the institute said in its annual Digital News Report accompanying the survey.

About 32% of university students polled in Japan said they have used the artificial intelligence-powered ChatGPT chatbot, with many saying it enhances their thinking abilities, according to a recent survey by a Japanese research group. ChatGPT was used the most by students in the departments of science, technology and agriculture, at 45.5% overall, and far more by men, at 44.8%, than women, at 27.1%, the online survey found. Carried out between May 24 and June 2, the survey received responses from 4,000 students enrolled in universities across the nation. It was conducted amid growing worries that the use of ChatGPT could hurt students' critical thinking skills and creativity. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

Pre-processing and exploring data, building and deploying models and turning those scoring values into an actionable insight can be overwhelming. A recent survey... Pre-processing and exploring data, building and deploying models and turning those scoring values into an actionable insight can be overwhelming. A recent survey shows that for data scientists, the many tasks they spend their time working on are very different from the tasks they actually want to prioritize. This disparity can feel wide, especially when coworkers or internal clients think you can do it all. The expectations for those who work with data and analytics can be as large as the potential impact that can be made in organizations.

Our dependency on AI-based outputs seems to grow every day, both from a business as well as personal perspective. But are we willing to fully trust this output? Are we sure the data fed into these systems is accurate? Are the decision models and algorithms kept up to date? Are humans kept in the loop?

A record 54.3% of students at elementary, junior high and high schools in Japan said they lacked motivation to study last year, a private survey showed Wednesday, apparently reflecting the impact of the coronavirus pandemic in stifling social interaction. The figure compared with 45.1% in 2019, the year before the pandemic began in Japan, and 50.7% in 2020 after COVID-19 broke out. Such data was first collected in 2015. The study was conducted by the Benesse Educational Research and Development Institute and the Institute of Social Science at the University of Tokyo. It collected answers by mail and other means from around 10,000 students ranging from fourth graders to high schoolers between July and September in 2021.

Not only do a majority of healthcare organizations currently have an artificial intelligence strategy in place, more than half (59%) believe AI will deliver tangible cost savings within three years, according to a new survey from healthcare services group Optum. Confidence in AI and its potential to improve healthcare operations and services is surging, as hospitals increasingly invest in these technologies and see returns. About 83% of the executives surveyed said their organization has an AI strategy in place, and another 15% are planning on creating one. The third annual survey polled 500 senior healthcare executives from hospitals, health plans, life sciences organizations and employers. The Covid-19 pandemic has further spurred investment in AI, with 56% of executive saying they accelerated or expanded their AI deployment timelines in response to the public health crisis.

More than a decade ago, Nicholas Carr, in his work Does IT Matter, suggested that the widespread availability and low prices of technology made it more of a utility like electricity or water, versus a competitive differentiator. This may be happening with artificial intelligence to some degree. "It appears that AI's early adopter phase is ending; the market is now moving into the'early majority' chapter of this maturing set of technologies," write Beena Ammanath, David Jarvis and Susanne Hupfer, all with Deloitte, in their most recent analysis of the enterprise AI space. "Early-mover advantage may fade soon. As adoption becomes ubiquitous, AI-powered organizations may have to work harder to maintain an edge over their industry peers."

AI varies from industry to industry. There are just as many use cases for AI as there are companies. For healthcare organizations, AI is playing a role in monitoring equipment, while retailers see AI as a way to better understand customers. Transportation executives are banking on AI to drive autonomous vehicles. The common denominator across all industry groups is the rate that AI is changing the way things get done.

Yes, artificial intelligence (AI) is proving itself to be a worthwhile tool in the business arena -- at least in focused, preliminary projects. Intelligent chatbots are a classic example. Now it's a question of how quickly it can be expanded to deliver on a wider basis across the business -- to automate decisions around inventory or investments, for example. There's progress on this front, as shown in McKinsey's latest survey of 2,360 executives, which shows a nearly 25 percent year-over-year increase in the use of AI in various business processes -- and there has been a sizable jump in companies spreading AI across multiple processes. A majority of executives in companies that have adopted AI report that it has increased revenues in areas where it is used, and 44 percent say it has reduced costs, the survey's authors, Arif Cam, Michael Chui, and Bryce Hall, all with McKinsey, state.

Artificial intelligence is a must-have in today's economy. Yet, everyone has high hopes. That's the word from a survey of 2,555 executives published by MIT Sloan Management Review and Boston Consulting Group, which finds those companies achieving success with AI are those that pay close attention – extremely close attention – to organizational factors. "A growing number of leaders view AI as not just an opportunity but also a strategic risk," the study's co-authors, led by Sam Ransbotham of Boston College, report. "'What if competitors, particularly unencumbered new entrants, figure out AI before we do?'"