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As AI voice assistants like Amazon Alexa and Google Home become increasingly integrated in various aspects of our daily lives, an intriguing question arises: How do the distinct characteristics of these voices shape our perceptions and influence our behavior?
Read MoreArtificial intelligence is at the center of contemporary debates over the future of how we will live, learn, and work. AI applications ranging from predictive analytics to generative AI platforms such as ChatGPT are quickly being integrated into everyday life, provoking spirited discussions among professionals in law, business, and higher education.
Read MoreLeveraging machine learning, this study detects when drivers are distracted by texting or voice messaging. The insights gained could help create smarter transportation systems that can warn drivers before it's too late, making our roads much safer.
Read MoreOver the years, many innovations have reshaped the industry, and advancements in the field of artificial intelligence (AI) are emerging as another transformative force, with the potential to significantly impact scholarly research and publication.
Read MoreSince the launch of ChatGPT in 2022, there has been concern among educators, authors, editors, and reviewers about the use of Large Language Models (LLMs) in writing research papers. An influx of “AI Detectors” appeared online seemingly overnight, claiming to identify content not written by an actual human. These new tools sparked a wave of emails from reviewers and authors asserting that the paper or review they were looking at was written by AI, based on these detectors’ results.
Read MorePublished research needs to be used in real-world practice for making a meaningful difference in lives of patients, families, health care professionals, and other individuals whom the research affects. We know from research that it could take about 15 to 17 years for the published research to make it into real-world practice and policymaking, and about 85% of the research is never used in practice. A new scientific field called implementation science deals with designing innovative and effective behavior change methods and techniques for accelerating the transfer of high-quality published research in practice and policymaking.
Read MoreArtificial Intelligence (AI) is increasingly built into technologies that we use in our everyday lives, and while it seems benign to use AI to delete an unwanted object from the background of a photo or draft a contract, the stakes are much higher when AI is brought into the field of medical imaging and the health of patients is impacted.
Read MoreBeyond the doom and gloom of AI taking over peer review and the excitement of how this technology could transform scholarly publishing, this peer review week I take stock of how peer review could work in future. The focus of this article is not to discuss the merits and demerits of each mode of peer review but to instead look beyond the operational possibilities of peer review and how these changes can benefit research communities.
Read MoreExplore how AI and Large Language Models are affecting the future of peer review.
Read MoreArtificial intelligence is introducing significant structural and institutional changes by challenging existing laws and regulations, industry practices, emerging organizational forms, new forms of labor, and leadership roles. How can we harness AI's power through governance so as to help solve societal problems without amplifying existing inequalities or creating new ones?
Read MoreIn the latest Science Progress (IF 1.512) Special Collection, several international Guest Editors teamed up to encourage new findings and innovative research that explore the application of AI in achieving social sustainability, considering local, regional, and national characteristics. Topics include theoretical frameworks, empirical studies integrating AI technologies, deep learning in transportation, forecasting renewable energy applications, and economic and environmental assessments with AI applications. Here, we chat with one of the Guest Editors, Dr. Chih-Chun Kung, to learn more about the collection and the experience of launching one.
Read MoreWe need to talk about how to be original. I’II get onto why originality matters in the age of A.I. essays in a moment but let’s start with something a little more old school.
Read MoreIf we were to do a text mining exercise on all the incredible discussions at last week’s conference 100+ Brilliant Women in AI & Ethics, education would beat all other topics by a mile. We talked about educating kids, we had teenagers share their thoughts on AI in poems and essays, and exchanged views on the nuances of teaching ethics in computing and working with large volumes of social data both for computer scientists and experts from other disciplines.
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