This podcast interview focuses on the need to clearly define Artificial Intelligence so we can use it to its full potential in our strides to improve the well-being of people. My guest is Prof. Dr. Dagmar Monett, Professor of Computer Science, Berlin School of Economics and Law.
Professor Dagmar Monett has more than 30 years of research and teaching experience. She’s the co-Founder of the Artificial General Intelligence Sentinel Initiative, AGISI.org, which is “dedicated to understanding intelligence in order to build beneficial AI and risk/benefit analysis tools to monitor the social and economic consequences of AI to help improve the well-being of all humanity.”
She’s also the co-Founder of the Competence Center Digitalization at the Berlin School of Economics and Law. At this moment she’s focusing on Artificial Intelligence, Robotics, Software Engineering methods and techniques, and Computer Science education.
The mission behind AGISI.org is this: ‘To make giant leaps in Artificial Intelligence research in order to change the world for the better.’ That triggered me, and hence I invited Professor Monett to my podcast. We explore why it is so key to have clear definitions for Artificial Intelligence – and how that helps drive the innovation we are hoping for.
Here are some of her quotes:
We were seeing that people were concerned about how defining AI is essential for bringing in the field forward, but also why we don’t have a definition till now where everybody agrees upon.
There is a lot that we unconsciously assume about defining concepts that people don’t understand well. So our goal is to bring clarity and understanding in this area and specially in defining artificial intelligence.
We want to understand intelligence better in order to advance humanity … using intelligent algorithms, intelligent systems, intelligence programs better may be dependent on that.
By listening to this interview, you will learn three things:
- Why you should be clear from the start how you’re using AI so that you don’t compromise ethics around security or privacy
- That trust should be earned and that starts with good products, good behavior, good communication, and good interaction
- Why it is important to not only have a solid understanding of AI on the development side, but equally important to have it on the business side
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