Overview
The Office of the Ombudsman is seeking an AI Innovation and Mediation Intern to support the Mediation Unit’s technology and AI-enabled initiatives. The intern will contribute to the research, prototyping, and testing of AI-supported tools for mediation.
Key Responsibilities
- Support the development of AI tools for mediation practice, including designing and automating workflows, structuring and analysing mediation data, and assisting in the development of UN reporting tools.
- Explore decision support concepts such as “AI judge” prototypes and help integrate generative AI into training materials and mediation support functions.
- Create AI systems and workstreams to make mediation work more efficiently.
- Prepare a list of AI resources that could be useful for mediation work.
- Develop AI chatbots to guide the Ombudsman Office regarding resources of the organizations it serves.
- Create AI Judge dedicated spaces based on UNDT and UNAT cases on specific topics of concern.
- Create automations for case management.
- Develop case data snippets.
- Suggest any other AI application tools for mediation and ombuds practice.
- Support the mediation unit’s training and project activities, including preparation of training materials and coordination of events.
- Create AI-efficient training mechanisms and tools.
- Explore and suggest AI tools useful for mediation and ombuds training.
- Provide other administrative and substantive support as required.
Required Experience
- Demonstrated experience or coursework in AI, automation, data analysis, and software tools.
- Strong understanding of AI tools and systems, especially Copilot and Gemini.
- Familiarity with workflow automation, data visualization, or prototyping tools is desirable.
- Strong interest in mediation and broader alternative dispute resolution, including arbitration and negotiation is required.
- Experience with generative AI tools is an advantage.
- Knowledge of ADR systems and disciplines is highly preferred, and some work experience will be an advantage.
Qualifications
- Be enrolled in a postgraduate degree programme in computer science, information systems, data science, AI, software engineering, or related technology fields; or
- Be enrolled in the final academic year of a first university degree programme in a relevant technology field (such as a bachelor’s degree or equivalent) or have recently graduated from a relevant technology programme (as defined above) within one year; or
- Be enrolled in a postgraduate professional traineeship program in a technology field and undertake the internship as part of this program.
- Master’s degrees in Law, Human Resources, Organizational Behaviour, Psychology, Counselling, and other social sciences may be considered if accompanied by strong technological and technical skills.
