Stanford Engineering
31 May 2024
We’re bringing you a timely best-of episode, given the recent advances in generative AI tools like ChatGPT. A couple years ago we interviewed Jeff Hancock, a Stanford professor of communication whose research explores the psychological and interpersonal processes at play when people communicate with each other and with computers. At the time of this conversation, ChatGPT wasn’t yet available to the public, but today Jeff’s insights about how such technologies impact the ways we communicate seem more relevant than ever. We hope you’ll take another listen and enjoy. Episode Reference Links: Stanford Profile: Jeffrey HancockJeff’s Lab: Stanford Social Media LabStanford’s AI Institute: Stanford HAIJeff and Jeremy Bailenson’s paper on deep fakes: The Social Impact of DeepfakesJeff's paper on AI accessibility: Not All AI are Equal: Exploring the Accessibility of AI-Mediated Communication TechnologyJeff’s paper on encountering fake news: Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social MediaOriginal episode: Ep.177 What Happens When Computers Can Write Like Humans Website / YouTubeConnect With Us: Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters: (00:00:00) Introduction Host Russ Altman introduces guest Jeff Hancock, a professor of communications at Stanford University. (00:03:04) Evolution of Communication How social media and AI tools like spellcheck have changed the way we communicate. (00:04:08) AI in Everyday Communication The role of AI in daily communication tasks, like email responses, and whether this is beneficial or problematic. (00:06:35) Authenticity and Bias in AI Communication The potential biases in AI-generated language and its societal implications. (00:08:42) Large Language Models and Their Capabilities Overview of large language models like GPT-3 and their ability to generate human-like text. (00:10:34) Practical Uses and Implications of AI-Generated Text Practical applications of AI in generating text for marketing, education, and other fields. (00:12:18) Tailoring AI Messages The potential of AI to create personalized messages for different demographics. (00:14:49) Ethical Considerations in AI-Assisted Writing The ethical dilemmas in education regarding AI-assisted writing. (00:17:15) AI and Disinformation The risks associated with AI-generated disinformation and its impact on society. (00:21:06) AI in Advertising and Marketing AI's role in advertising and marketing, including the ethical considerations of using AI to create highly persuasive content. (00:22:38) Building Resilience Against Disinformation Tips for individuals to build resilience against disinformation. (00:26:35) Conclusion Connect With Us: Episode Transcripts >>> The Future of Everything Website Connect with Russ >>> Threads / Bluesky / Mastodon Connect 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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