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Dasha Simons is passionate about bringing the human heartbeat into technology development. As a senior AI & AI ethics consultant at IBM, she uses her creativity and human-centred perspective to find new ways in which technology can advance our lives. Incorporating questions such as: How can we use AI to help us detect financial crimes? How to create new business models and future-proof strategies? But also, how to design for fairness in AI?

Today, she is applying her knowledge as a strategic designer obtained at Delft University of Technology and as an industrial designer at Eindhoven University of Technology to design solutions to forward-looking challenges, advising clients in their IT landscape. Dasha emphasises the importance of diverse design approaches in an environment that is considerably technology-driven. Thereby, she uses creative means to support the practical implementation of ethics at the roots of AI development and raise awareness of this increasingly important topic.

She truly loves being a designer, creating things that do not exist, using new ways of thinking, and influencing how things will look in the future. She firmly believes that collaboratively we can envision and create a world where tomorrow will be (slightly) better than today. Her previous roles include: exploring future interactions at the design company Native and focusing on the experience part of design through researching user behaviour dynamics at a start-up called Onmi. Additionally, she has co-authored various publications in the field of design and trend forecasting.

Event role
Masterclass leader

'Design for fairness in AI'

Artificial intelligence (AI) is an emerging field that unleashes massive new (business) opportunities. The potential growth and broad application of AI technology have great economic benefits, however, also severe societal implications. With AI increasingly impacting our lives, questions of values and ethics are becoming more urgent, as AI systems can be negatively biased and their decision processes non-transparent. To make AI systems more ethical, abstract concepts such as fairness and values need to find their way into the fast and agile development of AI... more >

Saturday, September 18, 15:00

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