Ai Editorial: Deepfakes supported by AI techniques today are considered to be a growing problem. It is vital to build AI systems that can automated deepfake detection so that risks such as identity fraud can be tackled, writes Ai's Ritesh Gupta Artificial intelligence (AI)-based identity fraud is emerging as a serious issue. Recognition of one's voices and face as a way to validate a person's identity is under scrutiny with the rise of synthetic media and deepfakes. Be it for security-related risks, user privacy concerns or fraudulent transactions, repercussions are being probed at this juncture. Technology to manipulate images, videos and audio files is progressing faster than one's ability to tell what's real from what's been faked.

Ai Editorial: The lure of banking on data sources and artificial intelligence to vastly improve on pricing for all channels in real-time can't be ignored. But how can airlines, associated with the concept of booking classes and published fares over the years, take a vital step, probes Ai's Ritesh Gupta Calculating the availability of a seat in real-time and pricing what is to be offered accordingly is one of the most intriguing facets of the overall offer optimization. The prevalent inflexible cabin structure or reservation booking designators is being termed as an irrelevant way of functioning in today's digital era. As IATA asserts, every possible grouping of "service, price, conditions and customer restrictions are issued" by the carrier prior to any request even being made. These are then chosen and utilized at the time an offer is priced.