Reimagining service delivery in the agentic era with Google Public Sector
cloud.google.com·1d ago
AI Research
arXiv CS.AI·Jun 15·5 min read
SpheriCity: Designing Trustworthy Conversational AI for Sustainability Decision Support
TL;DR
Sustainability reports are often lengthy and complex, making it hard for users to extract useful insights. SpheriCity, a conversational AI prototype, was developed to enhance knowledge sensemaking by providing transparent sourcing and structured synthesis of information.
✦ Why It Matters
Engineers can leverage SpheriCity's design principles to enhance trust in AI applications across various domains.
Key Takeaways
- Utilize SpheriCity for enhanced insights from sustainability reports.
- Focus on transparent sourcing to build user trust.
- Incorporate structured synthesis for better knowledge access.
- Apply the evaluation framework for assessing AI in sustainability.
How It Works
SpheriCity employs a provenance-first design, allowing users to trace the origins of information provided by the AI. This approach enhances interpretability by linking responses to specific sources within sustainability reports, facilitating a clearer understanding of the data's context and reliability.