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IBM Data Platform Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data Platform organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:


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Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com



Status Submitted
Created by Guest
Created on Sep 19, 2026

Answer-set responses sized by uncertainty

Problem: Agents return single answers even when they are unsure, forcing human approvers to either trust blindly or re-verify everything. Point estimates hide doubt instead of communicating it.

Idea: Add an Orchestrate response pattern where uncertain agent outputs are returned as candidate sets sized by the model's uncertainty — small set when confident, larger set when unsure — so approvers calibrate their effort to the set size. Grounded in Cresswell et al. (ICML 2024), a pre-registered randomized trial showing humans decide significantly more accurately with conformal prediction sets than with fixed-size alternatives, because set size communicates uncertainty the way people naturally do.

Value: Faster human approvals on confident cases, appropriately skeptical review on uncertain ones, and measurably better joint human-AI decisions.

Idea priority Low