Science & Tech · AI · 6 hrs ago
Big Think explores how AI reflects human ideas and concerns
A new Big Think issue examines the ideas and concerns surrounding AI.
It notes that language models are trained on vast amounts of material created by people, including books, blogs, science and myths.
The issue looks at how AI may affect young technology workers and their jobs, including fears of automation.
It also considers how chatbots can shape people’s beliefs and what that may mean for mental health and reality.
Other topics include AI’s place in art and questions about privacy, consciousness and whether AI models can think.
Signal President Meredith Whittaker discusses how AI is built on business models and technologies that came before it.
Big Think’s “Made in Our Image” explores what artificial intelligence reveals about human ideas and concerns.
The issue says today’s AI models were trained on vast amounts of human-generated text, including books, blogs, science, myths, jokes and lies.
Its contributors examine AI’s effects on work, mental health, art, privacy and ideas about machine intelligence.
The editors say the issue uses philosophy to examine difficult questions raised by AI.
- Who
- Big Think and the contributors to its “Made in Our Image” issue.
- What
- The issue explores the philosophies of AI and what they reveal about people.
- When
- Published on 2026-10-21.
- Where
- Not stated.
- Why
- The editors say the issue uses philosophy to make difficult questions about AI clearer.
This story does not have two clearly opposing sides.
This story does not have a timeline yet.
- Publication date
- 2026-10-21
- Issue title
- Made in Our Image
- Featured topic
- AI’s effects on work, mental health, art and privacy
- Print format
- Quarterly print issues are available to members
1 source
What people are saying
How could AI fit into a world in which everyone has the ability to have a joyful life? That is the fundamental question that I am interested in answering.
I kind of expect my job to be automated by like 2032-ish, maybe sooner. It’s kind of hands-off from there, right?
I lost my original gig to AI, but now, in my new gig, I have to prove to AI that I’m not AI.
I think scaling up the current abilities of models is likely to yield what we would consider thinking.