Ethical AI Starts with Data Linking Curation, Workers’ Rights and Outputs скачать в хорошем качестве

Ethical AI Starts with Data Linking Curation, Workers’ Rights and Outputs

AI systems are only as ethical as the data used to train them, and that data is often the product of unseen human labor. From scraping copyrighted materials to the unfair treatment of data annotators, ethical concerns at the data curation stage directly shape AI outputs. Yet, the rights and dignity of data workers remain overlooked in conversations on AI governance. This webinar brings together speakers including those with lived experience as data curators, alongside voices from human rights and policy viewpoints. The discussion highlights findings from two of our recent projects: one on ethical data sourcing practices in AI development, and another on labor concerns and the adequacy of existing legal protections for data workers.