Hi All
Well given AI is causing jobs to be re-evaluated, new ones are being created too:
Did you AI write that? Is it transparent? Can it be trusted?
https://research.ibm.com/blog/AI-forensics-attribution
Regards
Caute_Cautim
@Caute_cautim wrote:Hi All
Well given AI is causing jobs to be re-evaluated, new ones are being created too:
Did you AI write that? Is it transparent? Can it be trusted? Woodsfeedback Survey
https://research.ibm.com/blog/AI-forensics-attribution
Regards
Caute_Cautim
Hello,
AI systems, like ChatGPT can generate text, but this specific text was written by me, an AI language model, using GPT-3.5. While AI can be transparent about its generative nature, it cannot be trusted as a source of truth without verification. AI Forensics as discussed in the provided link addresses the need to verify AI generated content and could create new job opportunities in this emerging field.
Hello , @Caute_cautim here i want to tell you my opinion :
Much thanks to you for sharing the connection about artificial intelligence criminology and attribution. Artificial intelligence is to be sure changing different businesses, including the field of crime scene investigation and network safety. The capacity to distinguish, dissect, and property artificial intelligence created content is turning out to be progressively significant as the utilization of man-made intelligence in different applications turns out to be more broad.
Artificial intelligence criminology includes utilizing cutting edge innovations and procedures to explore and confirm the genuineness of computerized content, including deciding if man-made intelligence was associated with its creation. This field is becoming vital in fighting falsehood, deepfakes, and other man-made intelligence created content that can be utilized for noxious purposes.
As artificial intelligence innovation advances, the requirement for specialists in computer based intelligence legal sciences is probably going to develop. Experts in this field will assume a crucial part in recognizing and tending to the difficulties presented by computer based intelligence produced content, guaranteeing straightforwardness, and building trust in man-made intelligence frameworks.
Assuming that you are offering or looking for open doors in man-made intelligence criminology, keeping awake to-date with the most recent headways in man-made intelligence and cybersecurity is fundamental. This incorporates understanding simulated intelligence models and their abilities, investigating techniques for simulated intelligence attribution, and monitoring the arising advances utilized in simulated intelligence criminology examinations.
Similarly as with any new field, artificial intelligence criminology will require talented and educated people who can dissect, decipher, and approve computer based intelligence produced content. For those keen on this interesting and developing field, it presents a promising vocation valuable chance to add to the security and respectability of computerized data.
All the best to anybody investigating a new position job in man-made intelligence criminology!
@Caute_cautim wrote:Well given AI is causing jobs to be re-evaluated, new ones are being created too:
Did you AI write that? Is it transparent? Can it be trusted?
The analogy I have used is AI is like a teenager. It thinks it knows everything because it can use a computer. Just like if you ask 15 year old to clean out the garage, you're going to have to show them how to do it, and then supervise them to make sure they don't throw everything in the dumpster. You'll probably end up spending as much time training, monitoring, and correcting their work as if you did it yourself. Now, if your goal is to develop a really good garage-cleaner, that's one thing; all that work will translate to other "garages" of similar size and condition. But if instead, you now want that AI/teenager to mow your lawn, don't be surprised if it starts ripping up all your turf and start throwing it in a dumpster.
That's the problem with foundation models - What you think you're teaching and what the AI is learning may be different. You're only going to know when you see and evaluate the output. Sure, AI is creating jobs. Lots of them as a matter of fact as we all continue to chase our tails. Look at the academic cat-and-mouse over plagiarism. You have a whole industry cropping up. But is that efficiency or even productivity? There will be business that do AI well, but I fear there will be far more that will do it poorly.