I'm sure there are many profound things that can be said about AI, a technology for which humanity has great hopes but also intense loathing, That makes it easy to miss the point I like to make at the beginning of my classes on AI and cybersecurity: AI is chips and code fed by data, connections, and electricity.
In other words,while AI might sound like an all knowing, they all are all vulnerable, hackable pieces of hardware and software, useless without electricity, and prone to errors and deceptions committed by their makers, us humans.
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| AI is chips and code fed by data, connections, and electricity |
In other words,while AI might sound like an all knowing, they all are all vulnerable, hackable pieces of hardware and software, useless without electricity, and prone to errors and deceptions committed by their makers, us humans.
- Medium article that highlights elevated AI risk awareness in non-white females: AI problem awareness grew in 2020, but 46% still “not aware at all” of problems with artificial intelligence
- LinkedIn article on AI errors in citations (c.f. MAHA report): Is your AI lying or just hallucinating?
- Blog post on unsolicited AI content ingestion: AI turned my 6,000 word academic paper into a 5-minute podcast, without asking
- YouTube video highlighting, with humour, the persistence of AI errors: How AI gets things wrong, repeatedly: a personal example
- Blog post exploring AI error creation
To be clear, I do see value in numerous software tools currently marketed and referred to as AI or AI-enabled, but I also have serious reservations about AI in general and many of the ways in which it is being developed, hyped, deployed, and used/misused/abuse.
Any further work on AI by Stephen Cobb will be listed here.
