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Turing Test for AI to Aid Fraud Prevention
Many businesses leverage Artificial Intelligence technology to reduce operational costs, increase efficiency, grow revenue, and improve customer experience. For significant benefits, businesses are looking to integrate the entire range of smart technologies including machine learning and natural language processing into their processes and products. Alongside, even companies that are new to AI can reap significant rewards.
Alan Turing was a pioneer and theorist of AI who advanced AI research. Turing created the Turing Test to examine a machine’s ability to display intelligent behavior equivalent to, or indistinguishable from, that of a human.
Until now, the Turing test is passed by very few machines. Machines are unable to interact as individuals do. AI assistants can emulate this interaction. However, to enable them to function, they rely on complex programming. Behind all this, the science is complex. Few business leaders are well enough to understand it to explore AI's potential.
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Google showed in 2018 that its Duplex AI-powered assistant is able to reserve salon appointments and restaurant reservations with real people over the phone. The Google Duplex technology is designed to make the conversation experience comfortable to sound natural. It is important to have a good experience with this service for users and businesses, and transparency is a key part of that.
Today, as chatbots proliferate and the digital assistants of the tech giants continue to infiltrate users with smartphones, vehicles, and homes, they are increasingly beginning to chat with machines. However, they still struggle to sensibly speak back.
For now, these scenarios are far-fetched, but each new advance brings new risks in cybersecurity and fraud prevention. Companies can use Turing-test passing voice AI to protect themselves against fraud. They also need to develop safeguards to thwart criminals who want to use advanced technology against them. As AI continues to advance, the quality of the voice will improve, and the technology will learn and enhance as it responds to more questions.