Promote ML Democratization new

Overview

Sustainability Dimension	Governance
ML Development Phase	ML Demand Specification
ML Development Stakeholders	Business Stakeholder, ML Development

Description

„Promote ML Democratization“ describes the development of an ML-related skilled workforce (Ng et al., 2021) to enhance the accessibility of ML (Sundberg & Holmström, 2023). Increased ML literacy leads to an increased number of employees being able to participate in developing ML models and acts as a lever for more diverse research approaches (van Giffen & Ludwig, 2023). One frequently used framework is the four Cs of AI in which low-level and easily understandable information about the ML-model´s concept, context, capability, and creativity is provided to the stakeholders (Talagala, 2021).

Sources

• Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
• Sundberg, L., & Holmström, J. (2023). Democratizing artificial intelligence: How no-code AI can leverage machine learning operations. Business Horizons, S0007681323000502. https://doi.org/10.1016/j.bushor.2023.04.003
• van Giffen, B., & Ludwig, H. (2023). How siemens democratized artificial intelligence. MIS Quarterly Executive, 22(1), 3.
• Talagala, N. (2021). The Four Cs Of AI Literacy: Building The Workforce Of The Future. Forbes. https://www.forbes.com/sites/nishatalagala/2021/04/04/the-four-cs-of-ai-literacy-building-the-workforce-of-the-future/