Best of: What happens when computers can write like humans
The Future of Everything
Navigating Social Media Disinformation
Exploring the impact of social media interactions on humanity, the chapter offers insights on combating fake news and emphasizes the importance of fact-checking before sharing information.
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 Hancock
- Jeff’s Lab: Stanford Social Media Lab
- Stanford’s AI Institute: Stanford HAI
- Jeff and Jeremy Bailenson’s paper on deep fakes: The Social Impact of Deepfakes
- Jeff's paper on AI accessibility: Not All AI are Equal: Exploring the Accessibility of AI-Mediated Communication Technology
- Jeff’s paper on encountering fake news: Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social Media
- Original episode: Ep.177 What Happens When Computers Can Write Like Humans Website / YouTube
Connect With Us:
- Episode Transcripts >>> The Future of Everything Website
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- Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook
Chapters:
(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
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