More conversations between people who hate each other, so that we can discover our common humanity and begin to understand the other side
ETHICS
-
Understanding Opposition Arguments: Alternative Perspectives on AI Initiative
By
–
What's the opposing view, from those pushing back? I haven't heard anything negative before so I'm interested to learn more.
-

Managing Generative AI Risk: CISO Workshop at FAIRCON23
By
–
Join us at our CISO Workshop during #FAIRCON23! Databricks Field CISO Omar Khawaja will share his insights and knowledge on effectively managing #GenerativeAI risk as a leader in #infosec. Register here https://
bit.ly/3F41lzZ -

AI Training Data Privacy: Protecting PII and Confidential Information
By
–
REMEMBER: the comments you leave, the DMs you send, and the emails you write to other people might be used to train their personal AI model. Pay special attention to confidential information and PII/PHI. (No hate to this creator, just flagging for others.)
-
Will AGI/ASI Make Humans Superfluous by NeurIPS 2023?
By
–
Is anyone going to #NeurIPS2023, or will we have AGI/ASI already by then thus rendering humans superfluous?
-
API Privacy Data Safety Compliance and Regulatory Considerations
By
–
It’s also worth noting that we don’t know what people use our API for, the data sent in and out of your API is yours, besides safety monitoring, we don’t see the application you created. I think this will change in a certain sense (KYC laws) but our goal is to: – make a
-
Google Search Query Manipulation Claims Debunked by Investigation
By
–
i looked into this, got the slide deck from trial, spoke to google, and the author. seems the claim at the heart of piece (google alters our search queries) is false. wired didn’t respond to me but they deleted the op ed this morning
-
Balancing immediate and existential AI risks concerns
By
–
Interesting, thanks for sharing. I think one issue is that many people who care about immediate risks also worry about existential ones, just not as much as the letter sort of implied.
-
Responsible AI Governance Aligns Systems with Societal Values
By
–
Responsible AI includes aligning AI systems with cultural acceptance, regulations, and societal values. It extends beyond the product's user to the community and society. AI governance is the tool to achieve this. Hence, AI ventures need to focus on both aspects.
-

LLMs Achieve Self-Recursive Code Improvement Capabilities
By
–
This is rather profound Large language models shows signs of being capable of self recursively improving their code. This is both exciting and poses somewhat of a larger risk. What a time to be alive.