How to Prevent Discriminatory Outcomes in Machine Learning
Machine learning applications are already being used to make many life-changing decisions – such as who qualifies for a loan, and whether someone is released from prison. A new model is n...
The advent of new digital platforms and emerging technologies has produced a wealth of data and information invaluable for human rights investigations, documentation and accountability efforts. These opportunities exist amidst new challenges to verifying truth from disinformation, such as deep fakes and online propaganda. The Global Future Council on Human Rights and Technology will focus on leveraging technology for responsible human rights promotion and advocacy: identifying how we can use digital and emerging technologies to provide a stronger evidence base for advocacy while protecting the rights of individuals and groups. The council will bring together a range of academics, business, civil society and other voices to identify the solution space, existing barriers and capacity gaps in order to strengthen data verification and promote evidence-based policy-making.
Lisa Ventura, Project Specialist, Society and Innovation, Lisa.Ventura@weforum.org
Silvia Magnoni, Head of Civil Society Communities, Society and Innovation, email@example.com
Specialists have come up with a set of guiding principles for machine learning based on UN human rights.
As we approach the 70th anniversary of the ratification of the Universal Declaration of Human Rights, where has progress been made, and what challenges remain?
Erica Kochi, the Head of Innovation at UNICEF and leader of the World Economic Forum’s Global Future Council discusses how we can make sure we don't programme machines with our biases.