Creating a bias-free artificial intelligence demands feeding bias-free data to it. AI becomes what we train it to be.
Introducing AI in products and services is a challenging process in many respects. From applications in medicine to autonomous driving, AI requires huge amounts of data to learn to perform its tasks. Data acquisition and labeling are both time consuming and demanding in terms of human resources.
Consumers expect our interaction with the technology to be through our tone of voice, facial expression and body language. The headphones will never go off, not even at night when we sleep.
During the Midsummer week, the Swedish Society of Image Analysis (SSBA) hosted the first Swedish symposium in Deep Learningat KTH. The large amount of participants confirmed the great interest in machine learning among business and academics.
Consumers, employees and vendors have all been spoiled with having access to new digital services. The result is digitalisation hype. It should all be easy, simple and smooth-working and everyone seems to think it’s all about mobile applications.
The Swedish government has initiated a project for making Sweden the World’s first fossil free welfare country. The project was initiated as a starting point of COP21 in Paris that took place in December of 2015.