Below you'll find a list of all posts that have been tagged as “causality”
Robert Hart, Cambridge graduate, discussed a very interesting, yet becoming increasingly important issue: WHO is to blame if a robot AI system makes a misdiagnosis? The current state of the art is that medical doctors are using AI today as decision support, definitely not as a replacement for standard procedures. However, what if technological progress keeps on and AI gets …
A very interesting article was released on May, 23, 2018 by Will KNIGHT in the MIT Technology Review: The US Army is funding a project aiming to determine “deepreals” from “deepfakes”, i.e. to answer the question if a given video or audio is real or faked. Please read this very interesting and relevant article here: https://www.technologyreview.com/s/611146/the-us-military-is-funding-an-effort-to-catch-deepfakes-and-other-ai-trickery And please watch this …
Recently an interesting paper has been published in ArXiV: Gamaleldin F Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian Goodfellow & Jascha Sohl-Dickstein 2018. Adversarial Examples that Fool both Human and Computer Vision. arXiv:1802.08195. However, maybe even more interesting is the lively debate on it via the 2-minutes papers by Karoly Zsolnai-Feher: The word adversarial – adversary (in …
A very nice explanation of the possibilities and limits of AI with focus on machine learning and how difficult it is to discriminate between a cat and a dog (starting at 4:17) and the video also clearly points out why causality is so important: One problem which humans can solve very good and where most AI fail is in transfer …
The Venus von Willendorf is an approx. 11 centimeter (4,4 inch) figurine made of limestone and painted with red ochre from a period of prehistory dated approx. 28,000 BC found in 1908 in a small place near Willendorf (Lower Austria) and is now located at the Natural History Museum in Vienna. It was recently banned from Facebook: https://www.telesurtv.net/english/news/Too-Hot-to-Handle-Facebook-Mistakes-Willendorf-Virgin-for-Porn-20180301-0026.html
A very interesting debate by Julius ADEBAYO (FastForward Labs), Paul RIFELJ (Wisconsin Public Defenders) and Andrea ROTH (UC Berkely Law), which was moderated by Amanda LEVENDOWSKI (NYU School of Law) on April, 27, 2017 at the Information Law Institute at the New York School of Law.