Linking Artificial Intelligence Principles
This work addresses the need for a unified approach to AI ethics and governance, but it is incremental as it builds on existing principles without introducing new methods or data.
The paper tackles the problem of fragmented AI principles by introducing LAIP, a platform for linking and analyzing different AI principles to identify common topics and uniqueness, arguing for a comprehensive framework that incorporates various principles.
Artificial Intelligence principles define social and ethical considerations to develop future AI. They come from research institutes, government organizations and industries. All versions of AI principles are with different considerations covering different perspectives and making different emphasis. None of them can be considered as complete and can cover the rest AI principle proposals. Here we introduce LAIP, an effort and platform for linking and analyzing different Artificial Intelligence Principles. We want to explicitly establish the common topics and links among AI Principles proposed by different organizations and investigate on their uniqueness. Based on these efforts, for the long-term future of AI, instead of directly adopting any of the AI principles, we argue for the necessity of incorporating various AI Principles into a comprehensive framework and focusing on how they can interact and complete each other.