Equity and Responsibility

Stories about the importance of innovating responsibly by ensuring ethical standards are applied during the design, development and use of data-driven technologies.

Analytics | Artificial Intelligence | Data for Good
Vrushali Sawant 1
Inclusivity: A guiding principle for responsible innovation

AI – just like humans – can carry biases. Unchecked bias can perpetuate power imbalances and marginalize vulnerable communities. Recognizing the potential for bias is one of the first steps toward responsible innovation. Doing so allows users to include diverse needs and perspectives in building inclusive and robust products. Through

Back to Top