Abstract
While regulatory approaches to address AI risks (e.g., horizontal vs sector specific, comprehensive vs multi-layered, risk-based v right-based) are being discussed globally in various fora, the relevance of data protection law can’t be overlooked.
When developing and deploying AI systems that are built to extensively and continuously ingest and regurgitate all kinds of information, compliance with data protection law should be a priority. Core principles such as lawfulness, transparency and fairness, purpose limitation, data minimisation, storage limitation, accuracy, security, accountability and more broadly data protection by design should be at the forefront of the assessment.
When developing and deploying AI systems that are built to extensively and continuously ingest and regurgitate all kinds of information, compliance with data protection law should be a priority. Core principles such as lawfulness, transparency and fairness, purpose limitation, data minimisation, storage limitation, accuracy, security, accountability and more broadly data protection by design should be at the forefront of the assessment.
| Original language | English |
|---|---|
| Specialist publication | DigiCon Blog (The Digital Constitutionalist) |
| Publication status | Published - 18 Jul 2023 |