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Best of: What happens when computers can write like humans

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Manage episode 421326784 series 2712286
Content provided by Stanford Engineering & Russ Altman and Stanford Engineering. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Engineering & Russ Altman and Stanford Engineering or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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:

Connect With Us:

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 or Twitter/X

Connect with School of Engineering >>> Twitter/X

  continue reading

276 episodes

Artwork
iconShare
 
Manage episode 421326784 series 2712286
Content provided by Stanford Engineering & Russ Altman and Stanford Engineering. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Engineering & Russ Altman and Stanford Engineering or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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:

Connect With Us:

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 or Twitter/X

Connect with School of Engineering >>> Twitter/X

  continue reading

276 episodes

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