Author: whatifconcepts

Empowering those that inspire so they can excel at the work that matters.

The More You Know

It is convenient to see a commercial airplane as a uniform piece of aviation equipment. However, focusing only on the control surfaces adds depth and dimension to our understanding of all the possible inputs that impact operations.

How might we illustrate the control surfaces of our own enterprises without overwhelming our audience? Super fans might desire more information, but casual observers might be better served with a more basic orientation. How might we decode our work to build a better understanding of the expertise it takes to keep our organization aloft?

When Does Craft Matter?

Do you care if you receive a donor letter written by AI? How about a school report card remarking on your student’s progress generated by a large language model (LLM)? What if it is a piece of original artwork painted by a bot? What is your threshold for accepting human craftsmanship versus artificial fabrication?

We are navigating a changing landscape. Software programs and apps assess the likelihood of AI or human authorship and provide an estimation in percentages. What do you feel is essential that maintains a human touch, and what can be leveraged to an LLM platform?

How might we discuss our AI thresholds before we find ourselves simply adopting them out of convenience?

For demonstration purposes, below is Chtgpt’s rewrite of the above blog post. It is laid out with more structure, employs more sophisticated language, and is academic in nature. As a reader, which do you prefer?

Navigating the Evolving Relationship Between Human and Artificial Creations

In today’s evolving landscape, the distinction between creations authored by humans and those generated by artificial intelligence (AI) is increasingly nuanced. Software programs and applications now possess the capability to assess the probability of AI versus human authorship, often providing confidence estimates in percentages. This advancement prompts us to consider what elements of creation require a distinctly human touch and where leveraging large language model (LLM) platforms can be beneficial.

Maintaining a Human Touch

Certain aspects of creation are deeply intertwined with human experience and creativity. Artistic expression, emotional resonance in writing, and the intuitive judgment involved in decision-making are domains where human involvement traditionally adds unique value. The ability to convey complex emotions through art, capture the subtleties of human experience in literature, or make nuanced ethical decisions are areas where the human touch remains irreplaceable.

Leveraging LLM Platforms

On the other hand, LLM platforms offer unprecedented capabilities in generating content that is coherent, informative, and contextually relevant. They excel in tasks such as data analysis, content creation for routine reports, and even generating original artworks based on learned patterns and styles. These platforms can efficiently handle repetitive tasks, freeing up human creativity for higher-order thinking and innovation.

Establishing AI Thresholds

As we integrate AI into various aspects of creation and decision-making, it becomes crucial to establish clear thresholds for its application. Rather than adopting AI solutions purely out of convenience, careful consideration should be given to where AI enhances efficiency without compromising the integrity of human-centric values like creativity, empathy, and ethical judgment.

Initiating the Conversation

To navigate this transition thoughtfully, organizations and individuals must engage in open dialogues about AI thresholds. This involves defining criteria for when AI is appropriate, ensuring transparency in its implementation, and continuously evaluating its impact on the quality and authenticity of our creations. By proactively discussing these thresholds, we can harness the benefits of AI while preserving and celebrating what makes human craftsmanship and creativity uniquely valuable.

In conclusion, as we navigate the intersection of AI and human creativity, maintaining a balance between leveraging LLM platforms for efficiency and preserving the irreplaceable human touch is paramount. By establishing clear AI thresholds and fostering open conversations, we can shape a future where technology complements, rather than replaces, human ingenuity and expression.

One Job

Jetways and Airstairs located at commercial airports have one job. They are necessary to load and unload passengers and crew. They are deployed for high-use periods and then sit idle. When reviewing utilization patterns, these items might not deliver a compelling return on investment. However, when a plane filled with people arrives, they are essential.
How might we not prioritize utilization metrics but look at the resource’s impact? A ladder would cost less money, but customer satisfaction would definitely drop. Even more critical, a jetway allows us to efficiently board a $100 million commercial airplane that does benefit from monitoring utilization metrics.

Power Source

What is your power source? Does it rely on pure power, or do you benefit from additional forces such as aerodynamics and physics? How might we ensure we are not wasting power by generating massive outputs but increasing drag by forgetting to put appropriate pressure in our tires?

How might we strategically deploy our power to do the work that matters?

The Key You Are Seeking

Just because you have a key, it may not be the right one for the vehicle you are trying to start. If you have a template/framework/idea/donor/board member/network from another cause does not mean it will work for your current enterprise. The right key and the right vehicle are essential to initiate your journey. Just as the right resource must match the culture and needs of the organization you intend to serve.

Public Domain

What happens when your proprietorial work makes it into the public domain? What is the impact of others iterating on your creation? How does it align with your values and focus? If you believe in making the world a better place, does it matter who gets the credit? If you believe in delivering for your shareholders (or donors), is it essential that you generate a metric that shows a return on investment? What if your idea is leaked to the sector, and it is the spark that generates an unexplored way of serving those that you are committed to helping? Do you need credit, or does moving closer to your vision suffice?

No More Time?

We will not know there is no more time until we cross some imagined or real threshold. Until then, the anxiety and panic of these alarming pronouncements claiming we are out of time feel insufficient (and liminal). How might we raise awareness and create pathways to change, informed by a limitation of duration but not stating we passed the endpoint? If we miss the last train/plane/bus, there is little we can do but wait in place (and perhaps sulk). If there are options to rejoin our journey, we should make those opportunities visible. Distracting the team by activating the alarm system creates distraction; we focus on evacuation when alarms sound instead of addressing the problem.

Glance

What did you glance at that was exceptional, but you were unable to witness (or capture) the entirety of the event? A shooting star? A retreating grizzly bear? The first moments of an unforgettable keynote? An iconic board member who is finishing their term just as you start your service? A glimpse of the impact bestowed by the first year of a transformational grant?

Glances are helpful since they furnish a picture of what is possible. They may not be sustainable or ordinary, but they set the conditions for developing a vision for the future. How might we use glances to inform our current and future efforts? How might a glance be the beacon to which we orient?