In a demonstration at its I/O conference, Google showed off Duplex, an AI capable of making calls on behalf of users to book appointments and reservations.

Google's new assistant sounds almost scarily human. Google’s Duplex AI Scares Some People, but I Can’t Wait for It to Become a Thing ...

Google’s AI is eerily human, when it works: To test Google Duplex, we used a pair of Google’s Pixel smartphones, which include the company’s virtual assistant by default.

Google’s AI voice reservation service Duplex has launched in 49 of 50 US states. Google says it has no timeline to expand to the last hold-out, Louisiana, due to prohibitive local laws.

Grappling with Google Duplex: What happens when our AI assistants suddenly seem more human. by Corey Nachreiner on July 6, 2018 at 12:30 pm July 7, 2018 at 6:57 am. Share 10 Tweet Share Reddit Email.

What is Google Duplex? The 'Terrifying' Future of AI Voice Chats Is Here, And it May Change Phone Calls Forever. Published May 09, 2018 at 6:33 AM EDT Updated May 09, 2018 at 6:55 AM EDT. By .

Ever since Google played a demo of Duplex, its AI-powered real-world chatbot, at its I/O developer conference in May, people have been trying to undermine it as unethical, immoral, or just plain fake.

Google confirmed to the New York Times that about 25 percent of calls made by Duplex begin with a human, and about 15 percent of calls that begin with AI have human intervention at some point ...

Now, Google's AI can pick up the phone and call you, and you may not even realize you're talking to a bot. Getty Images ... For Google, Duplex marks the next big step in natural-sounding, ...

Using Duplex, Google will be updating its own information, too. Google Duplex is as convincing as a real person The AI uses natural language like err, umm, and mm-hmm to respond.

All we have on Google Duplex, in contrast, is one canned AI demo shown at a Google event, under conditions that raise real questions about whether or not the event was staged.

While AI services like Google’s are meant to help us, their part-machine, part-human approach could contribute to a mounting problem: the struggle to decipher the real from the fake.