Ai, artificialintelligence, bigdata,
BigData News Tuesday, June 5
- Researchers develop AI to fool facial recognition tech
- Socure: How To Prevent Bias In AI
- Jennifer Kinzel, CPA, CMA, MBA on LinkedIn: “#AI #BigData “Who wouldn’t want…
- A team of engineering researchers from the University of Toronto have created an algorithm to dynamically disrupt facial recognition systems.
- Aarabi and Bose designed a set of two neural networks, the first one identifies faces and the other works on disrupting the facial recognition task of the first.
- The key here was to train the two neural networks against each other, with one creating an increasingly robust facial detection system, and the other creating an ever stronger tool to disable facial detection, added Bose.
- Concerns over privacy and data security are high with questions being asked of the likes of Google, Amazon and the Metropolitan Police in London who are implementing and providing facial recognition technology.
- Aarabi believes ‘anti’ facial recognition systems can benefit personal privacy as the neural nets become more and more advanced.
@martinwest99: Researchers develop #AI to fool facial recognition tech https://t.co/g71BCxIVvL #ArtificialIntelligence https://t.co/8wfcz0sNpp
- No, when it comes to the biggest immediate impact that artificial intelligence (AI) will have upon the world, financial services will likely take that honor a looming prize that provides fresh opportunity to consider how machines will overcome bias.
- However, Sunil Madhu, founder and chief strategy officer of online security and predictive analytics firm Socure, told Karen Webster during a recent podcast interview that bias remains a vital issue for the future of AI and machine learning.
- According to Madhu, such a technique letting the machine learn on its own instead of submitting to human supervision renders moot the danger of human bias creeping in.
- That may be true, but such luminaries as Elon Musk and the late Stephen Hawking have warned about the dangers of AI might not a machine that gains sentience decide that computers and robots are better off in charge of the planet instead of humans?
- Greater financial inclusion, more access to financial services and such positives are certain to follow from the enhanced decision making that comes from machine learning and AI, he said.
@IainLJBrown: How Financial Services Can Prevent Bias In AIRead more here: https://t.co/0D10BQpWby#ArtificialIntelligence #AI… https://t.co/RO4K33r1cn
@JenniferKinzel: #AI #BigData “Who wouldn’t want to leave bank reconciliations to a machine?” https://t.co/cF1LB1WpVP https://t.co/qwgdSQtMSk