Nirit Weiss-Blatt's Blog
May 10, 2023
7 Ways AI Media Coverage is Failing Us
I identified7 flaws in current AI media coverage and organized them into a short piece.
Check itout:
7 Ways AI Media Coverage is Failing Us
April 26, 2023
The AI Dilemma’s Panic-as-a-Business
I created adetailed breakdown of the new “AI Dilemma” and the infamous “Extinction from AI”survey.
The AIDilemma’s Panic-as-a-Business:
- Freakingpeople out with monstrous AI
- Freakingpeople out with dubious survey stats
-Distracting people from the real issues
Check itout:
Like The Social Dilemma Did, The AI Dilemma Seeks To Mislead You With Misinformation
April 14, 2023
The AI Doomers’ Playbook
Mass mediaplays a key role in promoting AI Doomers, like
Sam -Lightout for all of us- Altman
Tristan -AI's godlike powers will master us-Harris
Eliezer -Destroya rogue datacenter by airstrike- Yudkowsky
From “AIPanic Marketing” to “AI Panic as a Business,” there’s a clear playbook.
This newarticle explains why “Instead of out-of-control AI, we have out-of-controlpanic”:
April 9, 2023
@DrTechlash on Tech News Weekly podcast: AI doomers are distracting us from the real problems
Iappeared on the Tech News Weekly podcast (TWiT network) to discuss the mediacoverage of AI—specifically, the rise of AI doomerism.
Giveit a listen:
Tech News Weekly| Apple Podcasts | Google Podcasts | Spotify| YouTube
March 2, 2023
Overwhelmed By All The Generative AI Headlines? This Guide Is For You
There's a strange synergy now between people who hype AI's capabilities and those who thereby create false fears (about those so-called capabilities).
It’s all overwhelming. But none of this is new.
Since we’re flooded with news about generative AI and its “magic powers,” I gathered the Top 10 AI frames from the most positive (pro-AI) to the most negative (anti-AI).
My hope is that after reading this, you’ll be able to cut through the AI hype. ⤵
Overwhelmed By All The Generative AI Headlines? This Guide Is For You
February 24, 2023
The Vibe Shift in Content Moderation: AIGC in the new UGC
Today (February 24, 2023), I was quoted (next to other experts) in a Washington Post article by Will Oremus & Nitasha Tiku:
The right's new culture-war target: 'Woke AI'
It discusses how social media content moderation wars are moving into the AI culture war."ChatGPT praised Biden but not Trump. The right is furious."
Here, I would like to share my additional thoughts. I'm calling it "AIGC in the new UGC."
The Vibe Shift in Content Moderation:
The battlefield moves from user-generated content to AI-generated content
The bigger picture? We are coming full circle.
First was the tech backlash against Big Tech, specifically social media algorithms.
For the past 5 years, the tech coverage has focused on phenomena such as hate speech, disinformation, filter bubbles, echo chambers, and rabbit holes.
The tech industry needed something to distract us from this tiring mess and all the content moderation battles that came to define Web 2.0 and UGC (User-Generated Content).
But Web3/crypto failed miserably, and the technology behind the Metaverse is not ready yet.
That paved the way for Generative AI, which has actual use cases.
OpenAI's tools, like DALL-E and ChatGPT, were the wishful "backlash to the Techlash."
Because "finally, something to be enthusiastic about!"
The fact that those tools didn't come from Big Tech made it more exciting.
Now, we're back in the same territory of content moderation, biases, safeguards, who designs and controls the safeguards, and why there's no regulation on this disruptive thing. It sounds familiar because it is. We're back to Big Tech controlling big technology.
Current events are freaking people out because we are dealing, once again, with our information ecosystem.
People on one side ask Microsoft for more guardrails, while others tweet, "Oh my god, they killed Sydney!".
It's manifesting the social media's culture war in this technology.
Nothing will prevent those new accelerating debates over AI content moderation.
Why?
Because for two decades of social media, we haven't figured it out, and we are not even sure what "getting it right" even looks like (nobody would ever be satisfied).
How could we expect AIGC (AI-Generated Content) to be any different from UGC (User-Generated Content)? It is literally trained on it.
Conclusion? Generative AI companies should brace themselves. Techlash is coming.
February 15, 2023
AI Hype - Explained
A 25-minute version of my presentation on “The Media Coverage of Generative AI.” I’m showing that the generative AI tools might be novel, but their media coverage is not. The old “AI Frames” rule the headlines. I’m explaining why.
Check out the full video: AI Hype – Explained
December 18, 2022
Generative AI Is Not Our Gateway To Heaven Nor A Frankenstein Monster
AI Art of “Gateway to Heaven” and “Frankenstein”
The debate surrounding Generative AI may seem novel, but it’s not.
It’s simply a rehash of the most commonly used frames in the media when discussing AI.
We need to cut through the hype, look at the complex reality, and see humans at the helm, not machines.
Various social forces are at play here: Researchers, policymakers, industry leaders, journalists, and users, who shape the technology further.
Check out the full piece @The Daily Beast:
Generative AI Is Not Our Gateway To Heaven Nor A Frankenstein Monster
November 22, 2022
AI ART IS EATING THE WORLD & we need to discuss its wonders and dangers
There's a revolution taking place right now in the world of AI-Generated Art.
My new article focuses on the booming AI-generated Selfies/Portraits/Profile Picture/Avatars,
but also discusses the ethical considerations of AI art and its dangers.
Check out the full piece:
AI ART IS EATING THE WORLD & we need to discuss its wonders and dangers
October 10, 2022
Peoples & Things Podcast – Nirit Weiss-Blatt on The Techlash and Tech Crisis Communication
Moments before my response to Haidt was out - Don’t Be So Certain Social media is Undermining Democracy - Lee Vinsel and I covered a lot of ground:
Filter bubbles, echo chambers, rabbit holes, polarization, the shift to Techlash, Donald Trump, tech companies’ crisis responses and whether they were effective (spoiler alert: NO), Google/YouTube vs. Facebook, confirmation bias in media consumption, tech regulation, and the Web3/Crypto hype.
Give it a listen:
Peoples & Things: Apple Podcasts | Google Podcasts | Spotify | Stitcher | Castbox | Listen Notes | PlayerFM | Amazon Music | YouTube
AI algorithms creating rabbit holes
as interpreted by OpenAI’s DALL-E (left), MidJourney (middle), and Stable Diffusion DreamStudio (right)


