Technology should be a beneficial force in our lives, taking the world in exciting new directions and making us better humans. To ensure this, we need to facilitate a conversation between data technology and the human experience. Keeping social responsibility and ethical behavior in mind when designing AI systems enables us to put the right systems in place to contribute to the society we want, fostering higher levels of cognitive and emotional skills.
Jivan Virdee and Hollie Lubbock explore how to address fairness, accountability, and the long-term effects on our society when designing with data, focusing on four key areas for consideration in this space:
— Responsibility and accountability for machine learning systems
— Fair and transparent data science
— Trust and human-machine collaboration
—Automation and changes in the way we work
Along the way, they cover key issues in creating ethical AI systems and detail how we might go about tackling them and outline further questions that will need to be addressed going forward.
Big thanks to @fjord and @accenturedock for their help and support