Harri Ketamo

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Education is globally broken... and it can't be fixed without AI | Harri Ketamo | TEDxTartu

Published on Dec 23, 2016

Robotisation will automate manual jobs, Artificail Intelligents is going to partially replace, partially boost intellectual work, also education. What is Harris vision? Hear more from video.

Harri Ketamo, Ph.D., is an independent researcher and start-up entrepreneur with over 15 years of experience in Learning Sciences, Data Mining and Artificial Intelligence. He is a Senior Fellow at University of Turku and Adjunct Professor at Tampere University of Technology. Prior to founding HeadAI (artificial labour), he has founded e.g. SkillPixels ltd. (games based learning) and gameMiner ltd (game AI & data mining). Ketamo has published more than 80 international peer-reviewed research articles, had ~200 presentations on his studies in international forums and received several awards and nominations related his R&D activities.

 

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AI Specialist Harri Ketamo talks about AI and his HeadAI Company

Published on Oct 5, 2018

Harri Ketamo interview
Thousands of years ago there was already a folktale and an Intelligence – Artificial Intelligence. Soon there was also Harri Ketamo, Finnish Artificial Intelligence Specialist, Founder and Chairman of HeadAI Company, who truly has operated with AI long before than some of us have even heard about a term called AI. For example, now Harri’s company is producing a cognitive AI, and using it as a job application handler, who handles millions of applications and foretells, in which direction labor market is proceeding. But what is Artificial Intelligence and what is its purpose and target? Where are we heading in the future, and why is our own role so important in this intellectual scenario?

 

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Harri Ketamo in Robots in Depth #41

Published on Jun 26, 2019

Harri Ketamo talks about AI and how he aims to mimic human decision making with algorithms.

Harri has done a lot of AI for computer games to create opponents that are entertaining to play against. It is easy to develop a very bad or a very good opponent, but designing an opponent that behaves like a human, is entertaining to play against and that you can beat is quite hard. He talks about how AI in computer games is a very important story telling tool and an important part of making a game entertaining to play.

This work led him into other parts of the AI field. Harri thinks that we sometimes have a problem separating what is real from what is the type of story telling he knows from gaming AI. He calls for critical analysis of AI and says that data has to be used to verify AI decisions and results.

We also hear about the current use of AI in among other things sports games, where the challenge is to make a believable computer copy of a real-world player to make the games feel more real.

We then get to hear about his current work in developing AI systems that create mind-maps from texts to make the computer able to determine the context. By doing this we can derive better sentiment and meaning. This AI system is trained using a large amount of reliable data from scientific papers and CNN.

One application of this that Harri is working on, is in the labor market matching needs for talent with available people. This will help companies find staff and people find job opportunities.