When AI-assisted work goes wrong, you can expect to be asked who checked it, who decided to use it and what made that decision reasonable. Could you answer today?
One online day for managers. Check an AI draft against its source and write the rules for one AI use: who reviews, who authorises, what's excluded and when to pause.
When a team starts using AI, the work changes hands. Someone prepares a draft with AI, someone checks it, someone decides it is good enough and someone answers for it. Most organisations have a tool and a set of principles, but have not settled those four roles. Checking and correcting becomes hidden work, and a colleague who spots a problem has no clear route for raising it. Anette Oxenswärdh, Associate Professor in Quality Technology at Uppsala University, who designed and leads the course, calls this the responsibility translation gap. You close it for one real work process: you check an AI draft against its source, rehearse a colleague's concern and write the arrangements into a plan your organisation can approve. Trust then rests on how the work is organised and reviewed.
You leave with a draft responsible AI implementation plan for one work process. It covers the purpose, which uses and information are permitted or excluded, who is responsible for what, how output is reviewed, what support exists, what evidence you will collect, when you will pause and when you will review it. You also name who authorises it. A conversation guide helps you start the first team discussion.
The course draws on Nordic traditions of employee participation, professional discretion and quality improvement to examine AI adoption at work. You ask how staff can influence a change, how managers make concerns answerable and how learning is organised. Anette Oxenswärdh, Associate Professor in Quality Technology at Uppsala University, connects responsibility culture and sustainable organisational change with the practical use of AI ethics. Nordic examples are examined in context, without assuming that one national model fits every organisation. Sustainability includes attention to workload, continuity of learning and the consequences of the proposed use.
The plan works best when the people who would run, review and be affected by the trial have shaped it. If several colleagues from your organisation attend, you work on the same process together and leave with one plan that has shared ownership.
If you would like the day built around your own processes and information rules, ask us about a team programme.
You work with a fictional example: an AI-drafted description of a routine internal process, with the source text supplied so you can verify it. You work out preparation, checking, authorisation and use, then apply the same approach to one process in your own organisation, including the information rules and specialist approvals it needs. The day needs no live AI accounts and no technical demonstrations.
You compare a fictional AI draft with its source and identify unsupported claims, then rehearse raising and responding to a concern in groups of three. Peer feedback tests the use of authority, checking time and action on concerns.
30-day trial · self-directed
After local approval, you test the plan for 30 days using authorised tools and information.
You compare quality and total work, including checking and correction, with the existing process, and gather feedback from staff and the people affected for the named reviewer's decision. You carry this out yourself. Further facilitated sessions can be agreed separately.
Your organisation keeps responsibility for tool, information, procurement and specialist approvals. During the day you record unresolved questions and identify the appropriate internal expert.
Introductory to intermediate
Live online in English, with breakout rooms, screen sharing and chat. Tell us about any access need when you register your interest, and we will work with you to make the day work.
Dr Anette Oxenswärdh is Associate Professor Emerita in Quality Technology at Uppsala University, Sweden. An author, researcher and experienced educator, she connects leadership, organisational culture and collective learning with the practical challenges of change. Her career spans higher education, school leadership and international teacher education.
Read more →SEK 4,150 per participant, excluding VAT
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