About This Course

Did you know that over 90% of people on the autism spectrum are unemployed full-time, and AI is one of key technologies which can fix it through social robotics and adapted virtual reality experiences? Or that AI helps to build personalized reading trainers for kids with dyslexia? Or that AI helps neurodiverse people find tech jobs in Google, Amazon or Microsoft leveraging special algorithms that analyse your cognitive pattern? Or that AI helps to empower drug research for oncology and viruses? Or that AI helps to create inclusive ecosystems for elders through NLP, bio and neurofeedback devices?

Artificial intelligence and such related fields as robotics, natural language processing, neural networks have an exponential potential to reimagine the future of our ecosystems, cities, classrooms, workplaces, making it more inclusive, open and interconnected. Unfortunately, as history demonstrates even great technologies (or beginnings) which are used in an irresponsible way can bring more harm than good.

Today’s statistics says us that AI-driven facial recognition and police solutions have around 30% errors for women and people of colour, only 10-15% of AI and data teams are presented by women, social networks and platforms raise concerns similar to the “Cambridge Analytica” case, reminding us how we are far from actual data ownership. Schools, hospitals and medical institutions struggle to correctly and ethically adapt, implement AI-driven automation, computer vision and robotics. These cases and challenges are numerous.

However, there are no “wrong algorithms”. There are wrong tools, approaches and frameworks behind it. AI ethics as a discipline and ecosystem covers a broad range of topics, discussions and debates. But more importantly AI ethics is an universal tool that helps developers, innovators, scientists, researchers and leaders to better connect technology development, policies and human rights, algorithms and societal criteria / logic, data and social sciences. The key objective of this course is to provide you with such a universal tool and ecosystem - human-centered AI-framework, which you can build, implement and keep updated for your product or organization, that meet requirements of responsible governance, transparency, algorithmic diversity and fairness.