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Artificial Intelligence in Health Health workforces’ algorithmic literacy

3.1.3. ICT Technical expertise

• What is the organization’s ICT technical expertise?
Are there gaps?
• Is there a framework for evaluating AI technologies
for possible adoption?
3.1.4. ATE

• What is the organization’s ATE? What is missing?
• What is the organization’s approach to data
management? What about hallucination management,
which is the model, trained on appropriate data?

3.1.5. Faculty and student engagement
• Are there opportunities within the organization for
Figure 1. Expanded eLearning components for organizational readiness experimentation in relation to new technologies? If
in integrating artificial intelligence yes, are these opportunities incentivized?
• What are the perceived risks associated with AI within
related to AI-related activities. Given that decisions the organization?
regarding strategy happen in the context to the broader • What resources are available for both faculty and
organizational needs and priorities, we propose taking the students to use AI tools responsibly?
initial step through an examination of an organization’s • When should AI be used and when should it not be
readiness to integrate AI-related efforts as part of its used?
ecosystem. In recent surveys conducted by industry and • Who are the change agents to build working relationships
non-profit professional organizations, 15-17 lack of talent across disciplinary silos?
to develop and implement AI solutions, and the cost or At this point in its development, ALF is conceptualized
lack of investment by the organizations for ensuring a as a readiness framework at both the organizational
sustainable and flexible technology ecosystem, were the and individual levels. Figure 1 shows key components
primary factors influencing readiness. that influence the organizational level, while Figure 2
Thus, what are some key questions related to highlights the individual level and was formulated based
organizational readiness and specifically to the categories on a review of several emerging digital literacy models. 22-25
identified in Figure 1? 17-21 It demonstrates how an individual’s learning progression
would flow from Awareness to Knowledge to Applied
3.1.1. Institutional support Innovation toward Expertise.
• What support does senior leadership of the 3.2. Individual readiness parameters: Assessing
organization offer related to the use of AI? Is it an factors that influence an individual’s readiness
organizational priority?
• Are there clear AI governance guidelines? We have identified key questions to guide and support
• What are the organizational culture and direction individual readiness. The questions can be used to
related to AI-related activities? For example, where assess readiness at the onset of an engagement and as an
does the organization stand regarding deepfakes? instrument for assessing the development of that readiness
• How flexible is the organization in terms of its throughout multiple engagements. By engagements, we
hiring given that there may be needs that are not yet mean the activities designed to support individuals in
known? deepening their knowledge and skills related to AI within
an organization. The section that follows on implementing
3.1.2. Infrastructure and support systems ALF describes an engagement with activities that focus on
• What approaches and technologies do the dialogue and the development of a CoP.
organizations deploy to address model operations? The key questions shown in Figure 2 are as follows:
• How does the organization manage risk and security
related to AI? 3.2.1. Awareness
• How reliable are the cryptographic architectures being • How is AI influencing my work?
used? Should these changes? • How can AI help me in my work?

Volume 2 Issue 2 (2025) 43 doi: 10.36922/aih.4903