How to mimic a voice using AI and just 3.7 seconds
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“About the #ethics of #AI beyond self-driving cars.”
“More people have started becoming aware that AI could have different ethical consequences on different groups of people. The fact that we see people engaged with this—I think that that’s something promising.”
Tx to Antoinette Hoes for sharing
“Let’s begin by looking at this short list of decisions that AI is making for us in the here and now.
Whether or not a tumor has become cancerous.
Whether or not an insurance claim should be processed or denied.
Whether or not a traveler is approved to go through airport security.
Whether or not a loan should be made.
Whether or not a missile launch is authorized.
Whether or not a self-driving vehicle brakes.
These are complex matters that are well suited to AI’s strength — its ability to process infinitely greater data than a human can, said Mike Abramsky, CEO of RedTeam Global. But the decisions AI can make are also reflective of the technology’s weakness, the so-called “Black Box” problem, Abramsky said. Because deep learning is non transparent, the system simply can’t explain why it got to the decision. No matter how much you respect AI’s advance, though, most of us would also like to know how AI came to the conclusions that it did, if only out of curiosity’s sake. So do proponents of a movement called explainable AI, and their reasons for wanting to know go far beyond mere curiosity.
“With AI-powered systems increasingly making decisions such as credit card approval for an application, a self-driving car applying the brakes after getting closer to an obstacle, and parole recommendation for incarcerated felons, it has become vital for humans to understand the decision-making mechanism of the underlying AI to ascertain that the AI makes accurate and fair decisions,” said Abhijit Thatte, VP of Artificial Intelligence at Aricent.”
Wow #AI with Google Duplex. “Aside from being able to call up businesses and make appointments on your behalf, Google Duplex took much of the audience by surprise through how natural and human-like it sounds.”
” #Volkswagen used the algorithm’s media recommendations for a campaign for its up! model, which led to a 14% #rise in #orders from Volkswagen’s dealerships versus what those orders would’ve been had the campaign run solely on its agency’s recommendations. In some instances, the difference between the algorithm’s and its agency’s car orders has been as high as 20 percent, revealed Kothe.”
chat bots and AI for KLM and airlines
“#Google released #AI experiment that asks you to draw a random object and see if the neural network can identify your doodle”
“Rise of the bots.
Investment in artificial intelligence (AI) is expected to triple in 2017 according to Forrester research, as brands tap into the potential of machine learning and look to take a leading position on the ‘Internet of Things’ (IoT).”
“Building personas that consumers can really engage with will require a real understanding of humour, language and spontaneity”