ArtifactAI develops grounded and practical machine learning projects in the field of AI safety. The primary objective of ArtifactAI is to contribute to the advancement of AI safety research and promote responsible and secure deployment of artificial intelligence

Projects:

ArtifactAI conducts research to identify potential risks and challenges associated with AI systems. The organization explores methods to mitigate these risks and develops practical solutions for ensuring the safety and security of AI technologies.

• AI Forecasting: Leverage data-driven models to predict future AI trends, enabling better decision-making, resource allocation, and risk management across AI.
• Red Teaming: Reducing instances where large language models are employed in ways that violate ethical guidelines, perpetuate harmful content, or facilitate malicious activities.
• Model Security: Safeguarding large language models from potential vulnerabilities and mitigate risks associated with their deployment and usage.
• Functional Enrichment: Benchmarking and tracking the expansion of the model's skills, abilities, and functionalities.