Designing Human-Agent Interaction: Principles for Trustworthy Collaboration Agentic systems demand new interaction models: visible reasoning, preserved human control, trust via dialogue—not blind automation.

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

Managing Unintended Consequences: Designing Encapsulated Workflows to Anticipate AI Side Effects Well-intended decisions often create unintended consequences. Understand why product discovery rituals matter before AI decisions harden into systems.

Most #AI failures don’t come from bad intent—but from unexamined decisions. What if discovery rituals, not principles, are where Unintended Outcomes really surface? How do second-order effects sneak in? #unintendedconsequences #Ethics #Design #HACD #HumanAgentCenteredDesign

2025 Year in Review A reflection on 2025: from AI tools to consequences, from speed to responsibility, and why Human–Agent-Centered Design started to matter.

2025 wasn’t about better #AI tools—it was about the consequences we quietly locked into #workflows, #agents, and systems.

This post reflects on what changed, what we overlooked, and why responsibility became a design concern again.

#AgenticAI #Ethics #HumanAgentCenteredDesign

Workflow Encapsulation in Human–Agent Centered Design: From Doing Work to Governing Outcomes H-ACD's "Workflow Encapsulation" explains how to design for intent, authority, and governance when flows collapse and agents execute tasks on our behalf.

Agents are collapsing our workflows into invisible steps. If flows move “inside” the system, what should designers actually be designing: screens, or human–agent contracts? How are you handling authority, guardrails, and trust in your agentic products today? #HumanAgentCenteredDesign #HACD #AI

Dual Evaluation: Measuring Both Human Experience and Agent Effectiveness H-ACD’s "Dual Evaluation" principle explains why great agentic experiences succeed only when both humans and agents perform well together.

#AgenticAI experiences only “work” only when both humans and systems succeed in tandem. Not just one. This post explores how H-ACD’s "Dual Evaluation" principle helps build trust, create value, and make better product decisions. #Usability #HumanAgentCenteredDesign #AI

Flows in the Age of Agentic AI: Our Core UX Models No Longer Apply? » { design@tive } information design Design is shifting from mapping steps to understanding intentions. What happens to user flows when Agents perform the work instead of humans?

We’ve spent decades perfecting user flows. What happens when AI collapses the steps and users just express outcomes? Is “flow” still a useful concept in modern UX—or do we need a new mental model? #AI #AgenticAI #HumanAgentCenteredDesign #UX #ConversationDesign

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