『The Future of Everything』のカバーアート

The Future of Everything

The Future of Everything

著者： Stanford Engineering
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Host Russ Altman, a professor of bioengineering, genetics, and medicine at Stanford, is your guide to the latest science and engineering breakthroughs. Join Russ and his guests as they explore cutting-edge advances that are shaping the future of everything from AI to health and renewable energy. Along the way, “The Future of Everything” delves into ethical implications to give listeners a well-rounded understanding of how new technologies and discoveries will impact society. Whether you’re a researcher, a student, or simply curious about what’s on the horizon, tune in to stay up-to-date on the latest developments that are transforming our world.All rights reserved 科学 衛生・健康的な生活 身体的病い・疾患
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  • The future of AI and the legal field

    The future of AI and the legal field
    2026/07/10
    Law professor Julian Nyarko has drawn attention for his studies using large language models to investigate and improve legal education and explore AI’s biases. He hopes AI can become a reliable, always-on legal learning and assistance tool to lower costs and expand access to legal services. In one recent study, he asked a group of law professors to evaluate written answers to student questions. Three-quarters of the time, the professors preferred AI-generated answers to those of their human colleagues. “AI is good at law,” Nyarko says, the challenge now is to use it most effectively, he tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast. Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu. Episode Reference Links: Stanford Profile:Julian Nyarko Connect With Us: Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook Chapters: (00:00:00) Introduction Russ Altman introduces guest Julian Nyarko, a professor of law at Stanford University. (00:02:31) Path into AI and Law How Nyarko’s early work led him to legal AI. (00:05:03) Law, Economics, and Computation How Nyarko’s training, methods, and self-taught coding shaped his research. (00:07:23) Building the LIFT Lab Why a law professor started a lab. (00:09:06) Evaluating Legal AI How AI raises fundamental questions about what counts as good lawyering. (00:10:22) Improving Legal Services Using AI to work faster, reduce errors, and make informed decisions. (00:10:57) Rethinking Legal Education How AI may change the way future lawyers learn (00:11:51) AI in Office Hours How AI answers law students’ questions compared with human professors. (00:15:18) Surprising Results Why AI answers were often preferred (00:16:16) What the Study Shows The findings support AI tutoring, but don’t prove AI improves learning. (00:18:48) Limits of One-Shot Answers Why real teaching often depends on dialogue, clarification, and productive struggle. (00:20:59) AI for Social Science How AI can become both an object of study and a tool. (00:22:43) Research Agents Using AI to test claims and make previously impossible research scalable. (00:24:51) Agentic AI in the Lab How Socratic dialogue with AI can sharpen research ideas. (00:26:07) Fairness and Bias How computational tools can be audited for bias and used to audit decision-making. (00:27:29) Discrimination in Models Exploring bias and how it can be reduced. (00:30:16) Disparate Impact How policies and systems disadvantage groups even without explicit intent. (00:32:53) From Evidence to Policy How Nyarko’s lab works with stakeholders to surface disparities. (00:34:49) Future In a Minute Rapid-fire Q&A: justice, talent, and the future of legal AI. (00:36:57) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    38 分
  • Best of: The future of wildfire management

    Best of: The future of wildfire management
    2026/07/03
    In the western United States and Canada, this time of year is the beginning of peak wildfire season, a reality that's become impossible to ignore. In light of this, we're re-releasing my conversation with energy and climate policy expert Michael Wara on the future of wildfire management. Michael walks us through how we got here, why fires are burning bigger and more frequently, and what a smarter, more proactive approach to managing our landscapes might look like. Whether you're in a fire-prone region or simply paying attention to the changing climate around you, this one is well worth another listen. Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu. Episode Reference Links: Stanford Profile: Michael Wara Connect With Us: Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook Chapters: (00:00:00) Introduction Russ Altman introduces guest Michael Wara, a wildfire expert and professor of law at Stanford University. (00:02:05) Journey to Wildfire Research How Michael’s clean energy work led to wildfire research. (00:03:36) Communities at the Frontlines The community-level challenges and responsibilities in fire prevention. (00:05:53) Shifting Community Perspectives How awareness is rising but state efforts remain misaligned. (00:08:17) Legacy Homes, Modern Risk Why older homes pose a major risk and retrofitting is crucial. (00:09:55) Utility-Led Safety Limitations The significant but insufficient progress utilities have made. (00:13:23) Targeting High-Risk Areas How utilities now prioritize high-risk areas for safety upgrades. (00:14:30) Insurance Industry Realities Why insurers can't price risk without crashing markets. (00:17:19) Urban Wildfires How today's major fires in suburbs are mostly fueled by homes. (00:22:12) The Climate Change Multiplier The impact of atmospheric dryness and fuel moisture on fire risk. (00:24:45) New Fire Regulations Recent mandates that have been implemented to decrease fire risk. (00:28:17) Rethinking Wildfire Communication Why better messaging is key to changing homeowner behavior. (00:31:52) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    33 分
  • The future of storytelling for health

    The future of storytelling for health
    2026/06/26
    “Stories … are powerful tools that can help us make sense of our lives,” says physician-scientist Maya Adam. She now combines visual storytelling and health education to create animations that go beyond the barriers of language and culture to convey important health messages. The subject matter ranges from vaccine acceptance and addiction to mental health and nutrition. These emotionally engaging narratives – often without a single spoken word – are more effective than traditional pamphlets and lectures, Adam says. Visual stories have the potential to achieve “near-universal understanding” that can support better health outcomes, she tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast. Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu. Episode Reference Links: Stanford Profile: Maya Adam Connect With Us: Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook Chapters: (00:00:00) Introduction Russ Altman introduces guest Maya Adam, a professor of pediatrics and infectious disease from Stanford University. (00:03:43) From Ballet to Medicine How Adam’s background shaped her approach to health education. (00:05:02) Why Stories Work Why lived experience makes evidence-based health recommendations more meaningful. (00:06:17) The Story Creation Process Adam’s techniques for creating effective scalable health stories on any topic (00:09:20) Real World Stories Adam shares some particularly challenging topics the team has created stories for (00:11:10) Global Accessibility Designing stories and characters that can resonate across cultures and contexts. (00:12:38) Measuring Impact Using technology to run trials to test and measure impact (00:15:23) Iterating the Message Adapting and changing approaches to create the most effective message (00:17:53) AI and Storytelling How AI is beginning to affect health communication and creative production. (00:19:45) Testing Human vs. AI Art A trial comparing responses to human-created and AI-generated health storytelling. (00:25:42) Human-in-the-Loop AI How AI may best support artists and clinicians by reducing burden rather than replacing (00:27:43) Future In a Minute Rapid-fire Q&A: stories, collaboration, media, and the future of health communication. (00:29:44) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    31 分
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