Potential for near-term AI risks to evolve into existential threats in healthcare

Area of Science:

• Artificial Intelligence
• AI Safety
• Existential Risk

Background:

• Foundation model-based chatbots demonstrate advanced AI capabilities.
• Current AI safety research primarily addresses near-term risks.
• Understanding of AI's existential threats remains limited.

Purpose of the Study:

• To analyze how artificial intelligence (AI) can lead to existential harm.
• To explore potential strategies for mitigating AI-related existential risks.
• To investigate critical domains impacting AI safety and societal risks.

Main Methods:

• Literature review and conceptual analysis of AI risks.
• Examination of AI alignment, overtrust, and safety principles.
• Assessment of open-sourcing implications and AI's impact on healthcare.

Main Results:

• AI's potential for existential harm is an extension of current near-term risks.
• Key areas for risk mitigation include AI alignment and safety protocols.
• Societal implications, including healthcare, require careful consideration.

Conclusions:

• Addressing AI's existential threats is crucial for humanity's long-term potential.
• Proactive investigation into AI safety, alignment, and societal impacts is necessary.
• A comprehensive approach is needed to manage the risks posed by advanced AI.