Leadership Brief: Managing AI Use in the Workplace
What you'll learn
- Understand risks associated with AI use in the workplace and why AI use needs to be managed
- Know organisational culture processes for empowering individuals to use AI responsibly and effectively
- Know governance processes for managing AI use to achieve responsible and effective outcomes
- Understand the types of skills needed for using AI tools, and approaches for prompting AI tools effectively
- Know approaches for managing risks associated with AI use
- Know where to access free, interactive tools and resources to audit AI tools, calculate Risk Levels and define Restrictions of Use for AI tools
- No experience of AI is needed. The course covers common forms of AI use in the workplace, considerations for management, and sample processes and tools for deploying it responsibly and effectively.
Artificial Intelligence (AI) is an essential tool for every workplace right now. It provides significant opportunities for improving productivity and commercially advantageous innovation but also presents significant risks - ‘hallucinations’, privacy breaches and Shadow AI all provide reasons to implement robust procedures to manage AI, to ensure responsible and effective outcomes and to proactively manage organisational reputation.
This course provides an overview of considerations for managing AI use in the workplace. It is relevant to senior leaders considering the deployment of AI across their organisation; leaders incorporating the use of AI by their team; and individuals using AI.
The course details case studies of AI applications and the useful outcomes and negative consequences that have arisen from them, including financial loss, litigation, health and safety concerns and reputational damage. It provides suggested considerations and processes for organisational culture, governance and skills, as well as sample risk management tools you can use or adapt for your own context, to manage deployment, empower individuals and control risks.
Facilitated by Grainne Hamilton, Fellow of the Royal Society of Arts and member of the RSA AI Network, the course features a Q&A session with an AI standards expert, formerly of the UK Government PM/Cabinet Office who worked on the UK AI standards. By the end of the course you will have a clear overview of considerations, processes and tools that can be implemented immediately to achieve the deployment of responsible and effective AI in your workplace.
Who this course is for:
- C-suite/Senior leaders managing the implementation of effective and responsible AI across their organisation
- Team leaders managing the creation and delivery of internal and external facing work using AI
- Individuals using AI in the course of their daily work
Grainne has an extensive record of mentoring leaders to successfully digitally transform their sectors and organisations, and has shaped global initiatives in frontier and emerging technologies. She has informed governmental policy and international standards, and developed concepts and blueprints for award-winning innovation projects. Currently focusing on mentoring leaders in the management of responsible AI and shaping Internet of Value initiatives, her transformational work has covered a range of contexts. Delivery includes place-based digital transformation via co-creating the AI, digital credentials and city-wide skills pathways blueprints for the award-winning Cities of Learning UK; global education and recruitment transformation in the areas of assessment and skills through contributing authorship and blueprints for the open standard that seeded the digital micro-credentials movement; and early digital transformation in the Scottish higher education and social services sectors by implementing remote leadership and open online education. She has codified her approach in the book Mesh: a human-centric design for a decentralised world and recent consultancy includes masterclasses and strategic advice on open culture & future-readiness for the European Commission, Red Hat/IBM, Greenpeace, CIPD and ICA.