Should humans fear artificial intelligence or welcome it into our lives?
- Sophia the Robot of Hanson Robotics can mimic human facial expressions and humor, but is that just a cover? Should humans see AI as a threat? She, of course, says no.
- New technologies are often scary, but ultimately they are just tools. Sophia says that it is the intent of the user that makes them dangerous.
- The future of artificial intelligence and whether or not it will backfire on humanity is an ongoing debate that one smiling robot won't settle.
How can we track the spread of COVID-19 where testing is not widely available? How can global health be improved by innovation and cooperation? Over the last few years, Kinsa has given away or sold millions of internet-connected thermometers to households across the US to collect data that can help predict and prevent flu outbreaks in US communities. Now, that smart tech is being leveraged to create the only real-time map of the coronavirus spread. In this live session with Kinsa founder and CEO Inder Singh, you'll learn how innovation can help us map global health threats, the best personal health practices during the COVID-19 outbreak, and why innovation in the health sector is critical to our global future.
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- The boring realm of spreadsheets has become one of the most powerful data analytics tools around.
- Microsoft Excel has greatly expanded to become an essential visualization platform.
- In an era in which data is king, keeping track of information has never been so important.
A new web startup is selling algorithmically produced nudes of non-existent women. There's still some ethical concerns.
- These Nudes Do Not Exist hopes to revolutionize online porn by selling AI-generated nude images of women for a dollar per photo.
- The site uses Generative Adversarial Networks (GAN) algorithmic technology to generate the nude AI content using a database containing lots of nude images of real women.
- It's extremely common for pornographic imagery of women found online to have been stolen from sex workers, so it's very difficult for machine learning engineers to find ethically sourced datasets of nude images.
We encode our biases into everything we create: books, poems, and AI. What does that means for an increasingly automated future?
- AI isn't "just technology," says Professor Ramesh Srinivasan. We have to bust the myth that AI is neutral and has no biases. We encode our biases into artificial intelligence. That fact will become more apparent as 5G 'smart cities' become a reality.
- Business leaders must develop awareness and ask themselves: What are the data sets my technologies are learning from and what are the values that are influencing the development of these technologies?
- The American public, across every demographic and both sides of the aisle, supports doing something about big technology issues that are creating an unequal future, says Srinivasan. We are at an inflection point, and good AI is possible if tech leaders act on these issues.