Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
A systematic review of 461 publications finds that generative AI lowers traveler search costs and unlocks operational capacity in tourism and hospitality. According to the review, these benefits coexist with bias, hallucination and privacy concerns.
Read the original →Transparency Coalition Co-founder Jai Jaisimha recently sat down with Rachel Harrison, host of the podcast “The Mental Health Evolution.” They discussed how AI is affecting health care.
Read the original →AI is evolving from generative models that produce text to increasingly autonomous agents that plan, use tools and execute multi-step workflows. The description says governance faces a severe pacing problem as a result.
Read the original →A doctoral dissertation from the University of Vaasa, Finland, examines the management of artificial intelligence across national borders. Rakibul Hasan’s research, at the crossroads of International Business and Information Systems, provides practical guidelines for executives and managers to safeguard the well-being of AI users. It notes that modern AI systems offer opportunities to build firm-specific advantages but can also cause harm to consumers, intentionally or unintentionally.
Read the original →OpenAI, Google, Microsoft and Anthropic have adopted a shared policy token for publishers.
Read the original →Images created or manipulated with artificial intelligence tools are flooding social media. The article offers a few tips for telling what is real from what is not.
Read the original →Hee Yun Lee will weigh the benefits, risks and ethical questions of college students turning to chatbots for help.
Read the original →Tech, operations and risk leaders can scale agentic AI responsibly with seven controls. The controls are meant to strengthen trust, governance and oversight.
Read the original →Generative AI company DEEPBRAIN AI has developed a "Face ID identification" technology that automatically blocks requests to generate deepfakes containing the faces of protected persons. It matches faces in images and video against a database, makes a determination in three stages, and offers six types of API.
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