Our approach to alignment research

No indefinitely scalable solution to the alignment problem is currently known. As AI continues, we expect to encounter a number of new alignment issues that we don’t yet see in current systems. Some of these issues are expected now and some of them will be completely new.

We believe that it is very difficult to find an indefinitely scalable solution. Instead, we aim for a more pragmatic approach: building and aligning a system that can advance alignment research faster and better than humans.

As we move forward in this, our AI systems can increasingly take over our alignment work and eventually conceive, implement, study, and develop better alignment techniques than we have now. They will work together with humans to ensure that their own successors are more aligned with humans.

We believe that evaluating alignment research is substantially easier than producing it, especially when evaluation assistance is provided. Therefore, human researchers will increasingly focus their efforts on reviewing alignment research done by AI systems rather than generating such research themselves. Our goal is to train models to be so aligned that we can offload almost all of the cognitive work required for alignment investigation.

Importantly, we only need “narrower” AI systems that have human-level capabilities in the relevant domains to do this as well as humans in alignment-seeking. We expect these AI systems to be easier to align than general purpose systems or systems much smarter than humans.

Language models are particularly suitable for automating alignment research because they come “preloaded” with a lot of knowledge and information about human values ​​from reading the Internet. Outside the box, they are not independent agents and therefore do not pursue their own goals in the world. They don’t need unrestricted access to the Internet to do alignment research. However, many alignment search tasks can be expressed as natural language or coding tasks.

Future versions of WebGPT, InstructGPT, and Codex may provide a foundation as alignment search assistants, but they are not yet capable enough. Although we do not know when our models will be capable enough to contribute meaningfully to alignment research, we believe it is important to start early. Once we train a model that can be useful, we plan to make it accessible to the external alignment research community.

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At Ikaroa, we believe that a well-aligned research approach is essential for companies to achieve success in their performance. We have a comprehensive approach to conducting alignment research that enables us to understand how organizations work and how they can best meet the needs of their customers.

Our alignment research starts with an analysis of the external and internal environment of an organization. We take into account factors like competitive dynamics and customer needs to develop a comprehensive assessment of the context. Based on this assessment, we can develop an understanding of how the organization can best meet the needs of customers and maximize its effectiveness.

At Ikaroa, we also put a strong emphasis on understanding the culture and values of an organization. We take into account the processes and practices in place to ensure that decisions made and actions taken are aligned to the organization’s core values and long-term objectives.

Once we have an understanding of the context, we work closely with the organization to determine a strategy for alignment. We focus on developing an actionable framework and process to ensure that the alignment produced is effective and sustainable. Our aim is to enable organizations to anticipate and respond to external market forces and customer needs in a timely and effective manner.

We believe that our alignment research approach can help organizations create an environment for sustained success. We use our knowledge and expertise to equip organizations with the information, data and insights they need to make informed strategic decisions and implement solutions that help them meet their objectives. Our approach to alignment research enables organizations to become more agile and responsive, allowing them to thrive in ever-changing business environments.


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