About Accountable Intelligence
Our Focus
Our Focus
Accountability, transparency, and clarity are hallmarks of a controls consicence management. Recent progress in Generative AI raises the the stakes for performance as well as risk. The level of risk and exposure from AI is not yet clear, just as the performance improvements we can realize.
Our view is that this is only one of the types of intelligence that has proliferated and they all require proactive governance and transparency based accountability.
The Accountability Gene
We come from diverse backgrounds but all share a strong sense of responsibility to understand the risks we face from the beginning. We need human and technology based transparency and accountability to conintuously inform and improve our jegdment about AI development, use, and outcomes. We start with the understanding that trailing governance efforts will be unable to provide adequete controls, we govern from the beginning.
Managing Analytic Inputs, Outputs, and Uses
The inputs to any intelligence process are the key constraint to the value it can produce, understanding the nature of our inputs and matching them as well as the AI process to the intended outcomes is critical to success. Our conventional approaches to data and process quality are core methods we need to expand as we understand more about how AI is applied at scale and with autonomy. We also recognize that sources for AI and uses of it require some controls over intended, or suitable uses and outcomes. We also recognize the shift that is occuring from training machines and models to re-training our thinking and behaviors with its use.