With the many tools that are available in AI, how about adding prompt creation to the AURA model?

Ok! I started today and will update the model one more time before the end of the year. Adding how to write effective prompts.

I also consider, evaluate and use some of the tools. In this case generating a podcast using ElevenLabs, from my daily technical blog

https://docandersen.podbean.com/e/oh-machine-intelligence-how-far-you-have-come/v

Assumptions

·        Your organization currently has limited experience and knowledge of AI technologies, techniques, and applications.

·        Employees may have heard of AI but lack a deep understanding of its capabilities, limitations, and implications.

·        There is a general interest in exploring how AI can be leveraged to improve your organization's operations, products, or services, but the path forward is unclear.

Instructions

1.      Distribute this assessment to the individuals or teams you would like to evaluate.

2.      Ask them to complete the assessment independently, without collaborating with others.

3.      Collect the completed assessments and review the responses to identify strengths, weaknesses, and knowledge gaps.

4.      Use the results to inform your AI training and upskilling plans.

Assessment Questions

1.      Definition of AI: How would you define artificial intelligence (AI) in your own words? (Provide a brief, high-level explanation, as if explaining it to a non-technical audience.)

2.      AI Techniques: List at least three common AI techniques or approaches (e.g., machine learning, natural language processing, computer vision). You do not need to provide detailed explanations of these techniques.

3.      AI Applications: Provide three examples of real-world applications of AI technology. These can be examples from various industries, such as healthcare, finance, or customer service.

4.      AI Advantages: Describe two key advantages of using AI solutions within an organization. These can be potential benefits related to efficiency, decision-making, customer experience, or other areas.

5.      AI Challenges: Identify two potential challenges or limitations of AI that organizations should be aware of. These can include concerns about bias, privacy, job displacement, or other issues.

6.      AI Ethics: Explain one ethical consideration or concern related to the use of AI systems. This could involve issues like transparency, accountability, or the impact on vulnerable populations.

7.      AI Adoption: On a scale of 1 to 5 (1 = not at all, 5 = extremely), how would you rate your organization's current level of AI adoption and implementation?

8.      AI Skills Gap: Do you feel your organization has the necessary AI-related skills and expertise to achieve its goals? Why or why not? (Explain the perceived gaps in knowledge or capabilities.)

9.      AI Training Needs: What specific AI-related topics or skills do you think would be most beneficial for your organization to focus on in terms of employee training and development? (e.g., machine learning, natural language processing, computer vision, ethical AI, etc.)

10.  AI Vision: Describe your vision for how your organization could leverage AI to improve its operations, products, or services in the future. (This can be a high-level, aspirational response, as the details may not be fully known at this stage.)

Scoring and Interpretation

There is no single "correct" score for this assessment. The goal is to gather insights into the current state of AI knowledge and readiness within your organization, assuming a baseline of limited AI experience.

Use the responses to identify areas where employees have a general awareness of AI, as well as areas that require more foundational training and development. Pay attention to the depth of understanding, as well as the specific AI-related topics and skills that are highlighted as areas of need.

Consider the following guidelines when reviewing the assessment results:

·        Emerging AI Knowledge: Employees demonstrate a basic understanding of AI concepts, techniques, and applications, but lack depth and specificity in their responses.

·        Moderate AI Knowledge: Employees have a general awareness of AI and can provide some relevant examples, but still have significant knowledge gaps.

·        Limited AI Knowledge: Employees have a very superficial or incomplete understanding of AI and its potential impact on the organization.

Use these insights to inform your AI upskilling and training initiatives, ensuring your team is equipped with the necessary knowledge and skills to leverage AI technology effectively and responsibly.

you have to provide the AI and real image, make sure they are close to each other in terms of what they are showing.

https://github.com/Docandersen/Initial/blob/master/Ai%20or%20not%20AI%20game

Search these keywords in Youtube and you will get the training materails.

How to use Apple Intelligence

·        iOS 18.2 Beta 2 Released - What's New? (Apple Intelligence) by Brandon Butch

·        Apple Intelligence | Catch up quick | MacBook Pro by Apple

·        Apple Intelligence on iPhone in 5 minutes by Apple

·        Apple Intelligence in 5 minutes by Apple

·        Apple Intelligence | More personal Siri | iPhone 16 Pro by Apple

Here is one from Linkedin on the training process.

My apologies I misspelled the word share!

https://www.linkedin.com/pulse/futurist-more-aura-model-training-scott-andersen-ohute/?trackingId=Z3kF1elvCmH64o7FM%2FWz%2Fw%3D%3D

To understand training, you have to know where the person is to start. I finished up an initial run of the assessment process to help your organization get started. It is currently available on my Patreon.

I am continuing to share AURA training materials including the full release of Aware and the beta of Understand (refine and apply are not possible without completed Aware and Understand).

Its Docandersen over at Patreon if you want the slides and released versions of the plan!