Build transparent and governed AI assistants with Copilot Studio
Diesen Beitrag auf Deutsch lesen
Use Copilot Studio to create explainable AI assistants, document their workflows and decisions, and apply governance rules for fairness and accessibility.
TL;DR
Copilot Studio citizen developers should create transparent, explainable assistants, document AI workflows and decisions, promote accessibility, and follow governance rules supporting inclusion, fairness, and ethical decision-making. The source also encourages sharing components and best practices to make low-code AI more open and collaborative.
Original by Michael Roth, on MichaelRoth42 Blog. Read the original · suggested by Michael Roth
This is our own summary, not a republication or full translation.
Governance takeaway
- Makers: Build Copilot Studio assistants that are explainable, accessible, and transparent so people can understand how they work.
- Admins/CoE: Encourage documentation, AI literacy, shared components, and governance rules for inclusion, fairness, and ethical decisions.
- Security/Compliance: Push for visibility into AI decisions and transparency about how models are trained and what data is used.
- Leadership/Business: Challenge AI initiatives to demonstrate meaningful human value rather than simply optimizing profit or adding automation.
Frequently asked questions
Which eight steps does the post propose for responsible AI?
Educate yourself and others, support open initiatives, judge AI products critically, discuss ethics, demand transparency in training data and models, experiment and share your own projects, encourage responsible adoption at work and build community-driven tools.
What can citizen developers concretely build with Copilot Studio according to the post?
They can build transparent, auditable AI assistants, well-documented workflows with clear decision logic, solutions that relieve employees through responsible automation and systems that respect governance rules as well as fairness and inclusion.
Which AI uses does the author dismiss as gimmicks?
He lists five: email drafting as glorified autocomplete, meeting summaries as basic transcription, customer chatbots as decision trees, presentation builders as template reformatting and AI-personalised marketing as automated A/B testing.