About the “human-in-the-loop.” Before releasing anything created by generative AI to an audience, you need to have human review and approval. But one of the benefits of genAI is the speed and scale of its creativity. How can humans keep up? A: The speed and the scale is there to be used by humans doing the things they need to do. It’s there to help people who, say, need to go through 10 documents to get an answer to something; now they can do it in one minute. Because of the trust issue, those are the most
Valuable types
Aasks to use a language model for. Q: If responsible AI is five to 10 years out from the plateau, looks like you’re predicting a bumpy ride. A: The regulatory world and other systems are unknown; and business email list even when they do become formalized and known there will be different regulations for different geographies. The innate nature of these models is that they do have a tendency to not be safe. Being able to control that is going to take time to learn. How do you check that a model is going to be safe? How do you audit a model
For compliance
For security? Best practices are hard to come by; every organization is taking its own approach. Forget about generative AI, other AI models, those that have been used by BT Lists organizations for some time, are still making mistakes, are still exhibiting biases. Q: How should people prepare for the imminent trough of disillusionment? A: Organizations will follow different trajectories in their experience of generative AI, so it doesn’t necessarily mean an organization needs to fall into the trough. It generally happens when
