We propose an administrative body National Artificial Intelligence Regulatory Authority(NAIRA) to regulate, monitor and engage stakeholders making safety a competitive game between labs leading to the development of better safety standards.

This report describes the AI Risks Digest, an application that uses prompt engineering and semantic search to answer questions, provide summaries and generate more questions, with context, from a corpus of AI Safety-related papers and docum...

This piece aims to provide a list of AI applications that could conceivably be incorporated into democratic systems, where the democratic system is abstracted based on the inputs-throughput-outputs-outcomes model (I-T-O-O model). While it c...

Why are we closing down Nuclear Plants? I argue that there is a disconnect between the bleeding-edge epistemic discussion (science) and our capacity to act rationally as a collective thinking group (politics). This discrepancy is a bottlene...

GPT-6 Needs ARC Evaluation Vincent Chung, Carson Ellis, Jakub Kraus, Vidya Silai The world in which GPT-6 is deployed will be far different from that of GPT-4. Current infrastructure may support alignment of large language models in 2023, b...

As the impacts of new Artificial Intelligence technologies become visible, regulations should be adopted to mitigate unintended or purposefully harmful applications. Today, the world is increasingly militarizing and warfare is becoming more...

Catastrophic AGI Risk Prediction Mitchell Reynolds & Jon Menaster We introduce a custom case scenario based on Open Philanthropy’s AI Worldviews Contest. We estimate a 48% probability of an existential catastrophe from the loss of control...

In this report we propose a scoring system for rating how safe an organization's policies, research, and products are towards advancing AI capabilities in a similar manner to how ESG ratings work with regards to a company’s environmental...