Privacy + Data Security
SQUARE – Brussels Meeting Centre rue Mont des Arts B-1000 Brussels, Belgium
Machine learning algorithms that learn from and make predictions about data, but do not provide explanations for outcomes (black-box algorithms), present problems. Government institutions around the world are increasingly directing resources towards requirements that will require algorithms to be designed, developed and applied in a transparent, predictable and verifiable manner, known as ‘Algorithmic Accountability.’ However, whether corporate AI initiatives will be accepted by users and society will ultimately depend not only on legal compliance but also ethical considerations. This session will explore what companies must do to ensure compliance of their algorithms with GDPR and how they need to address ethical rules to ensure that AI applications gain acceptance in society and markets.
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