#uxforai — Public Fediverse posts

#Accessibility failures in agentic systems do not always look like exclusion. More often, they look like missing disagreement, silent participants, incomplete organizational memory, or teams mistaking workflow silence for real alignment.

#AgenticAI #ArtificialIntelligence #AIUX #UXforAI #Usability #UX #InclusiveDesign #usability #ConversationDesign #ConversationalUI

https://www.designative.info/2026/05/27/ensure-inclusivity-and-accessibility-a-primer-of-human-agent-interaction-guidelines/?utm_source=mastodon&utm_medium=jetpack_social

Most #AI transparency discussions assume a single model explaining a single output. But what if #reasoning involves multiple layers, workflows, and #agents? The challenge might not be explainability but interrogability.

#AgenticAI #ArtificialIntelligence #InteractionDesign #HumanAgentCenteredDesign #UXforAI #AIUX #MlUX

https://www.designative.info/2026/05/18/make-reasoning-interrogable-a-primer-of-human-agent-interaction-guidelines/

Engineers run the AI evals. But who decides what “good” actually means? If your criteria only measure what’s easy, your product will optimize for the wrong things. Should designers and PMs own eval criteria? Let’s debate.

#AIEvals #ProductDesign #UX #AgenticAI #DesignLeadership #UXforAI #AIUX

https://www.designative.info/2026/05/05/ai-evals-for-designers-and-product-managers-why-criteria-matter-most/

If agentic systems hide their reasoning, trust collapses.
What if interaction wasn’t about issuing commands—but about questioning, negotiating, and governing autonomy? This post argues interaction is where trust is earned. #humanagentcentereddesign #AI #UXforAI #mlUX #AIUX #AgenticAI

https://www.designative.info/2026/01/15/designing-human-agent-interaction-principles-for-trustworthy-collaboration/