Mike Kiser

Privacy advocate, identity aficionado, chronoptimist. A poor man's cross between Ira Glass and Peter Sagal. Wearer of many, many hats. (Thou/Thee/Thine)

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

@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.

[Steve Wilson @virtualsteve]

@_MikeKiser @pateljm @JamesMaguire We officially classify that as “Overreliance” in our @owasp AI security project. https://t.co/XRl6KxxbwM

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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

[Mike Kiser @_MikeKiser]

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