The proverbial “Digital Transformation” has never been so ‘transformative’ as since the arrival of AI, and particularly generative AI. We can no longer really speak of Digital Transformation if it doesn’t extend to the adoption of AI in the vast majority of corporate functions and roles.

And speaking of adoption, there’s a concept that’s becoming increasingly clear and necessary for AI adoption in companies: the concept of AI Literacy.

AI literacy is the ability to understand, use and critically evaluate AI technologies in a professional context.

It’s not just about knowing how to use AI tools, but also about understanding the capabilities, limitations and potential applications of AI within an organization.

As AI permeates various aspects of business operations, from customer service to supply chain management, AI literacy becomes increasingly vital. Organizations whose workforces are familiar with AI are better equipped to:

• Make informed decisions about AI adoption
• Drive innovation and efficiency with AI
• Manage ethical considerations related to the use of AI
• Foster a culture of continuous learning

While AI offers immense potential for business transformation, it is not a panacea. True AI literacy involves recognizing both the opportunities and the limitations of these technologies, enabling organizations to harness the power of AI responsibly and effectively.

Understanding AI Literacy

AI literacy goes beyond simply using AI tools. It’s a comprehensive set of skills that enables individuals to effectively navigate the AI-driven business landscape.

Here’s what AI literacy encompasses:

• Basic AI concepts: Understand AI terminology, types of AI and common techniques such as machine learning.
• AI capabilities and limitations: Recognize what AI can and cannot do in business contexts.
• Data control: Understand the role of data in AI, including issues of quality, bias and confidentiality.
• Ethical considerations: Awareness of the ethical implications of AI, including fairness and accountability.
• Business impact: Understand how AI can transform processes and drive innovation.

By developing AI literacy, individuals and organizations position themselves to think strategically about AI implementation, critically evaluate AI solutions and navigate the complex ethical landscape of AI in the workplace.

Assessing your maturity in AI literacy

As a bonus to this article, I’ve prepared a grid-type tool that allows you to quickly assess the level of maturity of an organization or team with regard to its ‘AI literacy’. As well as providing a summary assessment of your level, this tool also aims to help the reader reflect on the place and importance of adopting AI literacy in his or her organization.

Warning: Very few companies in the country score well on this grid. The vast majority will score at level 1, or sometimes at level 2. This is to be expected, given that AI mastery has only been part of the discussion for a few years now.

Strategies for promoting AI literacy

So we don’t panic if our score is very low. Many companies do! However, if you’re interested in the impact of good AI literacy, here’s a general framework of strategy for cultivating AI literacy within your organization.

Consider implementing the following key strategies:

• Develop comprehensive training programs. Multi-level learning paths for different roles and levels of expertise, combining theoretical knowledge and practice, and including modules on AI ethics and the responsible use of AI.
• Encourage experimentation and learning by doing. Set up AI sandboxes for risk-free experimentation. Allocate time for employees to explore AI tools relevant to their work, such as: Organizing AI hackathons or innovation challenges
• Creating cross-functional AI teams. Teams with diverse skills, rotating team members to spread AI knowledge across departments.
• Implement AI mentoring programs. Match AI-savvy employees with those looking to improve their skills. Bring in external AI experts for workshops and advisory roles, and create an internal network of AI experts for consulting purposes.
• Integrate AI into existing workflows. Identify processes where AI can add immediate value. Provide training on AI tools specific to employees’ daily tasks.
• Foster a culture of continuous learning. Recognize and reward AI achievements, provide resources for self-paced learning, and organize regular AI mastery assessments and feedback sessions.
• Take ethical considerations into account. Develop clear guidelines for the ethical use of AI and organize regular workshops and discussions on ethics. Possibly set up an AI ethical review committee for complex issues.

Increasing your AI literacy is a necessity

AI literacy is no longer a luxury, but a necessity for organizations wishing to remain competitive and innovative in a world increasingly shaped by artificial intelligence. Whether your company is in its infancy or looking to deepen its grasp of AI, investing in the development of these essential skills is crucial.

It is precisely with this in mind that Moov AI has positioned itself as a partner of choice for organizations wishing to increase their AI literacy. Drawing on our expertise in the field, we specialize in strategic coaching and the implementation of customized training programs. Our holistic approach enables companies to develop not only the necessary technical skills, but also the strategic and ethical understanding essential to the responsible and effective use of AI.

Whether you’re looking to train your teams, integrate AI into your processes or develop a long-term adoption strategy, Moov AI is here to guide you every step of the way on your journey to AI mastery.

Midjourney prompt: an HR director using an AI litteracy tool on her laptop. the person is middle aged. the office is contemporary. –ar 2:1 –v 6.1 (formatted with Adobe Firefly in Photoshop)

Bonus: AI literacy maturity assessment tool for your organization

Use the scoring list below to assess your team’s or organization’s maturity in mastering AI. For each category, select the highest level that accurately describes your current situation.

You can use the following information to evaluate your organization, but I strongly advise you to download and print the tool..

1. Understanding AI concepts

• Level 1: Limited knowledge of AI
• Level 2: Basic understanding of AI terminology
• Level 3: Understanding of different AI types and techniques
• Level 4: In-depth knowledge of AI capabilities and limitations

2. Data control

• Level 1: Minimal knowledge of data
• Level 2: Basic data processing and interpretation
• Level 3: Understanding of data quality and bias issues
• Level 4: Advanced data analysis and AI integration skills

3. AI ethics and governance

• Level 1: No consideration of AI ethics
• Level 2: Awareness of AI ethical issues
• Level 3: Implementation of basic AI governance practices
• Level 4: Implementation of a comprehensive AI ethics framework

4. AI implementation skills

• Level 1: No experience of AI implementation
• Level 2: Ability to use predefined AI tools
• Level 3: Customization of AI solutions for specific needs
• Level 4: Creation and deployment of complex AI systems

5. AI and human collaboration

• Level 1: AI and human workflows are separated
• Level 2: Basic integration of AI into human workflows
• Level 3: Effective collaboration between humans and AI in many areas
• Level 4: Seamless integration of AI into all relevant processes

6. AI strategy and innovation

• Level 1: No AI strategy
• Level 2: AI is considered for isolated use cases
• Level 3: AI is integrated into a broader digital strategy
• Level 4: AI-first approach stimulates organizational innovation

7. Continuous AI learning

• Level 1: No AI-related learning initiatives
• Level 2: Ad hoc AI training for selected employees
• Level 3: Regular AI development programs
• Level 4: Culture of continuous AI learning and experimentation

Notation and interpretation

AI maturity levels

To calculate your score, allocate 1 point per level per section (ie: 3 points for a Level 3). Add up the points for each of the seven categories to obtain your total score.

7-10 points: Novice AI proficiency – Your organization is in the early stages of AI proficiency. Understanding of AI concepts is limited and integration of AI into your processes is minimal. Focus on raising AI awareness throughout the organization and identifying potential use cases..

11-15 points: Beginning AI proficiency – Your organization is beginning to recognize the importance of AI. Basic knowledge exists in some areas, but implementation is limited. Give priority to developing a structured approach to AI learning and start integrating AI into specific processes.

16-20 points: Intermediate AI proficiency – Your organization has made significant progress in AI proficiency. AI concepts are well understood and some implementations are successful. Work on expanding AI use cases, deepening technical skills and developing an overall AI strategy.

21-24 points: Advanced AI mastery – Your organization demonstrates a high level of AI mastery in most areas. AI is well integrated into processes and drives innovation. Focus on staying at the forefront of AI developments, refining your AI ethical framework and leveraging AI for strategic advantage.

25-28 points: Expert in AI mastery – Your organization is a leader in AI mastery. AI is deeply embedded in your culture, processes and strategy. Continue to push the boundaries of AI innovation, share your expertise with the industry and focus on new AI applications in your field.

Use this assessment to identify areas for improvement and to track your organization’s progress in developing AI proficiency over time. Remember that AI is a rapidly evolving field, so continuous learning and adaptation are essential to maintaining and improving the maturity of your AI culture.

---

Moov AI uses generative AI to create this blog.
Here’s how our marketing team is using generative AI to improve this blog. We used a combination of ChatGPT and Gemini to generate use case examples in various industries, based on a real-life case developed by Moov AI. Parts of the text were generated and corrected with the help of generative AI. The blog header image was also created using the following prompt: Abstract 3d creamy and wavy illustration of AI literacy with tools and data visualizations. A comprehensive set of skills that enables individuals to navigate effectively through the AI-driven business landscape. Comprehensive training programs. Experimentation and learning by doing. In a blobby 3d yellow and green gradient color –ar 7:4 –v 6.1 –weird 300 in Midjourney. We then used Adobe Firefly, integrated via the Photoshop beta version, to adjust the image to the correct format.

---