Is social media missing the mark on accountability? Once hailed as a democratizing force, #SocialMedia now faces the darker reality of #misinformation, #DeepFakes, and #DigitalTwins. These technologies blur the lines between #truth and #deception, often reshaping our
REGULATION
-
AI Promotion for Fossil Fuels: Reputation Management Strategy Shift
By
–
It has been careful to maintain this reputation even as it hasn’t stopped promoting AI for fossil fuel extraction. You can easily find evidence of its engagements with the O&G industry before 2020. After 2020? These mentions focus only on the transition to net zero. 10/
-
Microsoft develops AI tools to optimize fossil fuel production
By
–
Microsoft doesn’t just passively provide its services to these companies. It develops bespoke AI-enhanced tools for them, which it also markets to them as for the explicit purpose of optimizing and automating drilling, and maximizing fossil-fuel production. 3/
-
Important social debate work on AI relevance and stakes
By
–
Gracias, Simón. Muy importante el trabajo que habéis hecho para traer al debate social un tema tan relevante, exponiendo lo que está en juego y sin caer en lo manido.
-
Social Platforms Combat AI-Generated Fakes and Misinformation
By
–
Battling AI Fakes: Are Social Platforms Doing Enough? Discover whether #socialmedia companies are effectively combating #AI-generated #fakes and #misinformation on their platforms. Dive into the strategies employed by major networks like #Meta and #X, evaluate their successes
-
Robot taxi companies use remote assistance despite autonomy claims
By
–
"By creating the illusion of complete autonomy, companies can fuel interest in their technology and raise the billions of dollars they need to build a viable robot taxi service." Waymo and Cruise have recently admitted they use remote assistance. Zoox is more up front about it.
-
Rigorous Pre-Release Testing and Safety Evaluations Framework
By
–
We are also extremely proud of how rigorous and thorough our pre-release testing process is, including a full stack of frontier risk evaluations according to our Preparedness Framework and external red teaming. Read more safety work and evaluations in:
-
AI risks: misinformation, manipulation, and harm concerns
By
–
I hear you but I'm worried it will increase the risk of misunderstanding/misinformation/harm/manipulation
-
Web-Scale Data: Legal Risks and Compliance Requirements
By
–
Voilà! Overall, dealing with web-scale data is inherently risky and requires due care and good faith to reduce legal risk. In lawsuits, the burden of proof quickly shifts onto the defendants (because it's an affirmative defense) and they need to provide evidence of compliance.
-
Partner with IWF upfront to prevent illegal content in AI datasets
By
–
Partner with IWF upfront, not when problem arise! LAION knew about the risks of illegal content (e.g. child abuse) being in their dataset. It would have been sensible to partner with professional organizations like IWF to check files *before* publishing the dataset.
