A(G)I Definition, Safety, Regulation White Paper

This is our take on A(G)I Safety and Regulation from the perspective of and for smaller but highly innovative deep-tech players, from startups to SMEs

Contents:

1. 𝘛𝘪𝘦𝘳𝘦𝘥 𝘢𝘯𝘥 𝘚𝘵𝘢𝘨𝘦𝘥 𝘙𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺 𝘈𝘱𝘱𝘳𝘰𝘢𝘤𝘩

2. 𝘚𝘮𝘢𝘭𝘭 𝘗𝘭𝘢𝘺𝘦𝘳 𝘐𝘯𝘤𝘦𝘯𝘵𝘪𝘷𝘦𝘴 𝘢𝘯𝘥 𝘓𝘦𝘷𝘦𝘭𝘭𝘪𝘯𝘨 𝘵𝘩𝘦 𝘗𝘭𝘢𝘺𝘧𝘪𝘦𝘭𝘥

3. 𝘙𝘦𝘨𝘶𝘭𝘢𝘵𝘦 𝘐𝘵𝘴 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯, 𝘕𝘰𝘵 𝘙&𝘋

4. 𝘔𝘰𝘯𝘪𝘵𝘰𝘳 𝘈𝘐 𝘸𝘪𝘵𝘩 𝘦𝘲𝘶𝘢𝘭𝘭𝘺 𝘱𝘰𝘸𝘦𝘳𝘧𝘶𝘭 𝘈𝘐

5. 𝘎𝘰𝘷𝘦𝘳𝘯𝘮𝘦𝘯𝘵-𝘚𝘶𝘣𝘴𝘪𝘥𝘪𝘴𝘦𝘥 𝘛𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘐𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦

6. 𝘞𝘦𝘭𝘭-𝘥𝘦𝘧𝘪𝘯𝘦𝘥 𝘋𝘦𝘧𝘪𝘯𝘪𝘵𝘪𝘰𝘯𝘴 & 𝘚𝘤𝘰𝘱𝘦 𝘉𝘰𝘶𝘯𝘥𝘢𝘳𝘪𝘦𝘴

We also gave it a go at a definition of Artificial General Intelligence (AGI) based on our founder Dr. Hector Zenil's decades-long research in the field and in the spirit of the recent OECD - OCDE's non-anthropomorphic definition of AI that makes no or little resort to human intelligence.

The OECD's and the AGI definition based upon optimal prediction are the ones embraced by OIA when speaking of AI and AGI in healthcare and beyond, in particular as adopted by our A(G)I-driven end-to-end solution Algocyte for disease causal discovery and causal analysis. The AGI definition is based on the concept of optimal prediction, model generation, and selection.