As our ability to collect and analyze large swaths of data has increased dramatically so too has our regulatory capacity. With the introduction of regulation such as GDPR and DPIA, organizations are forced to consider their collection of data in terms of ethical consequence.
As the popularity of machine learning algorithms grow, as will their impact on livelihoods. In the case of law, humanitarian aid, and many other circumstances, the outcome of these models can greatly affect the lives of the users they touch.
In this session, we will explore the biggest challenges we face with machine learning in the humanitarian context and what it will take to define the guidelines for building an ethical classification algorithm.
This is a Learning Forum session.