Mike Kiser

A9. AI is another arrow in your quiver, not the target itself. #eWEEKchat

A8. Oddly, a lack of human-created content to train models on; without real-world human input, models tend to regress and eventually collapse.#eWEEKchat

A7. AI is democratizing the hacker community and expanding it to “normal people” —easiest example of this is today’s easy access to deepfakes. So no, it won’t make things safer, per se. #eWEEKchat

A6. They’ll need less staff to do the mundane – writing of documents, summarizing reports. We’ll still need humans to analyze and interpret results, just like we do with automation from the past. #eWEEKchat

A5. Don’t lose sight of transparency. If you don’t understand how your model came to the conclusions it did, then you’re flying blind. #eWEEKChat

Q4. Being clear on use cases (complete with side effects) and tracking down the provenance of training data. Isolation of models for both of these factors is key. #eWEEKchat

A3. Security itself. Cost and training are fairly well-known, but we’re still feeling our way around the risk model for AI usage (including data, agents acting “on behalf of” others, and the like) #eWEEKchat

A2. There is an assumption that it will increase productivity and produce better results than the human equivalents #eWEEKchat

A2. There is an assumption that it will increase productivity and produce better results than the human equivalents.

@ATraceableBird @Mikekiser Back at you, @ATraceableBird ....

A1. Mixed. Everyone has a chatbot. But most integrated AI into their base products / approaches. #eWEEKchat

@ATraceableBird And - how operationalized does it have to be? that's a sliding scale....

@JamesMaguire It's difficult to refactor the core of your approach to include new models / ways of operaring. I think most organizations are wary of disruption, but want to claim innovation at the same time.

@_MikeKiser What's holding it back, in your view?

@_MikeKiser @pateljm @JamesMaguire We officially classify that as “Overreliance” in our @owasp AI security project. llmtop10.com/llm09/

Thanks for the discussion, @JamesMaguire—lots to think about, and some solid takeaways for the future of AI. #eWEEKchat

A10: Stay practical: identify your needs, keep your use cases narrow, and then use AI tools ethically, citing their use when appropriate. Remember that ultimately, technology is neither good or bad – it’s what we do with it that can determine how it’s used or abused. #eWEEKchat

A9: Democratization of AI is well underway; our personal machines are providing gateway access to using AI. We're being directed into using AI as a default option, sometimes without us even knowing of its use. #eWEEKchat

@pateljm @JamesMaguire Agreed. Too many people will go along with whatever AI says because it sounds plausible and "because math." #eWEEKchat

@JamesMaguire A8. Complacency. This can set in if humans never question the AI answers. These models hallucinate and that is not going away with the current model architectures. #eWEEKchat

Q8. What are your concerns about your own use of AI tools? Data security? Accuracy of response? #eWEEKchat

A8: My personal concerns about using AI tools center around what I would call the "death of authenticity." Issues with the accuracy of responses weaken what is true or authentic, and there's also a temptation to claim human authorship of AI creations—to be inauthentic. #eWEEKchat

A7: I personally like using AI to respond to twitter discussions about AI. (kidding, of course.) #eWEEKchat