// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Alignment
Making sure an AI system acts in a way that matches human intentions and goals.
TECHNICAL DEFINITION
Alignment in AI engineering refers to the process of designing and training AI systems, particularly large language models (LLMs) and autonomous agents, to operate consistently with human values, objectives, and ethical principles, mitigating unintended behaviors.
BACKGROUND
In the field of artificial intelligence (AI), alignment aims to steer AI systems toward a person's or group's intended goals, preferences, or ethical principles. An AI system is considered aligned if it advances the intended objectives. A misaligned AI system pursues unintended objectives.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Goal alignment
- Intent alignment
- Ethical alignment
- Value alignment
USAGE NOTE
Achieving strong alignment is crucial for deploying powerful AI safely and responsibly.
DEVELOPERS
Organizations developing technology related to Alignment.
A leading AI research and deployment company that heavily invests in AI safety and alignment research, including methods for ensuring their large language models behave as intended and adhere to ethical guidelines.
Founded with a strong emphasis on AI safety and research, Anthropic is known for its focus on alignment techniques, including 'Constitutional AI', to make large language models helpful, harmless, and honest.
A prominent AI research lab within Google that conducts extensive research on AI safety, ethics, and alignment across various AI domains, including LLMs and reinforcement learning, to ensure AI systems are robust and beneficial.
Microsoft's research division has various groups working on responsible AI, fairness, transparency, and alignment, especially given their integration of AI into numerous products and their collaboration with OpenAI.
Meta's AI research division invests in AI safety, responsible AI, and alignment research to mitigate risks, ensure ethical use of their models, and align AI behavior with human values, often contributing to open-source efforts.
A multidisciplinary research institute at the University of Oxford that has been at the forefront of AI safety and alignment research for many years, focusing on the long-term risks and societal impact of advanced AI.
A non-profit organization dedicated to reducing 'catastrophic risks from AI' through technical safety research, including alignment, and advocacy for responsible AI development.