DeepMind's Universal AI Assistant envisions a 'world model' tracking context and intent to assist users with tasks like scheduling and email drafting.
Building trust with users involves providing consistent, human-centered exchanges and respecting boundaries between convenience and intrusion.
Embedding ethical considerations, such as user consent and data minimization, as design drivers is crucial for a universal assistant's success.
The approach to developing agentic AI involves incremental steps, focusing on micro-workflows and iterating based on user feedback for long-term success.