DKG @ KGC

Towards Trust and Accountability in Knowledge Graph based AI for Self-Determination

In just one minute in April 2022, there were 5,900,000 searches on Google, 1,700,000 pieces of content shared on Facebook, 1,000,000 hours streamed, and 347,200 tweets shared on Twitter. This content and data is linked to a plethora of AI services, providing immense value for users and companies, which have increasingly been based on Knowledge Graphs (KGs), i.e., machine-readable data and schema representations based on a web stack of standards. Over a number of years, however, there has been a growing worry on how personal data can be abused and thus, how AI services impinge on citizen rights. For example, the over centralisation of data and linked abuses led Sir Tim Berners-Lee to call the Web ‘anti-human’ in an interview in 2018 and since 2016, hundreds of US Immigration and Customs Enforcement employees have faced investigations into abuse of confidential law enforcement databases including stalking and harassment to passing data to criminals. In this talk I will outline how technologies such as distributed ledgers, personal data pods such as Solid and personal policy languages (e.g. ODRL) can support trust, accountability, and self-determination in Knowledge Graph-based AI systems.