TIM-6070 v1

Schneider, J., Abraham, R., Meske, C., Vom Brocke, J. (2023). Artificial Intelligence governance for businesses, Information Systems Management, 40(3), 229-249, https://doi.org/10.1080/10580530.2022.2085825
This paper decomposes AI governance into governance of data, machine learning models and AI systems and discusses the existing governance structures across these dimensions.

Beason, J., (2023). Securing the use of generative AI in your organization. LinkedIn Learning.
https://www.linkedin.com/learning/securing-the-use-of-generative-ai-in-your-organization/governance-of-generative-ai?u=2168252
This video discusses effective generative AI governance which is a crucial framework of policies, guardrails, and enforcement to responsibly manage risk while enabling business innovation.

Beason, J., (2023). Securing the use of generative AI in your organization. LinkedIn Learning.
https://www.linkedin.com/learning/securing-the-use-of-generative-ai-in-your-organization/writing-your-generative-ai-policy?u=2168252
This video describes crafting a comprehensive AI policy that involves a step-by-step process of defining key sections, including its purpose, scope, stakeholder roles, ethical guidelines, security controls, and enforcement procedures.

Andrews, L. (2024). Understanding and Implementing the NIST AI Risk Management Framework. LinkedIn Learning. https://www.linkedin.com/learning/understanding-and-implementing-the-nist-ai-risk-management-framework-rmf/why-the-need-for-an-ai-rmf?u=2168252
This video introduces the NIST AI Risk Management Framework (RMF) as a key tool for balancing these dangers with its innovative benefits.

Academia Scribes. (2024, June 23). How to cite ChatGPT, Claude and other generative AIs in APA, MLA, Harvard, Chicago & IEEE. https://academiascribes.com/blog/how-to-cite-generative-ai
This article supports Assignment 11: Develop a Company AI Policy where you develop a company AI policy based on your learning.

Dafoe, A. (2018). AI governance: A research agenda. Centre for the Governance of AI Future of Humanity Institute. University of Oxford. https://www.fhi.ox.ac.uk/wp-content/uploads/GovAI-Agenda.pdf
This paper discusses an agenda for AI governance in three aspects: the technical landscape, AI politics and ideal AI governance.