ai chatbot
If you have used any of the chatbots in the past, you know they can be valuable sources of information. However, the more I use a chatbot, the more I am concerned about its accuracy.
If you have lived a bit and have any public persona on the internet, you might have done this experiment I did with three of the chatbot engines. Since I have been a tech analyst for over 40 years, with a public persona and a legitimate bio on our website (Team – Creative Strategies), I asked three chatbots to write me a new biography. All three came back with significant information inaccuracies. One said I had written two books, which I have not done; one had me graduating from a college I did not attend, and the last had my role at my company completely wrong.
This kind of inaccuracy is even more rampant now.
One of the more interesting things that have arisen since ChatGPT launched about a year ago is that current data scraping (automated data collection from a website) now includes data created by AI, not just original material as it did initially.
Futurism recently wrote, « Don’t believe everything you see on the Internet » has been pretty standard advice for quite some time now. And according to a new report from European law enforcement group Europol, we have all the reason in the world to step up that vigilance.
Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.
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