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AI has at least for most people been this ominous idea of a technology prophesized to overthrow the world and destroy humanity. Although it may still be this terrifying idea, our first interactions with AI were all based on assistance and user aid (Siri, ChatBots, ChaptGPT).

Our group took this notion and conceptualized how the idea of human assistance has slightly been encapsulated by GenAI. Yet, it does not adhere to the fundamental merits of what it means to be mentored. To find these merits a literature review was conducted. The identified gap provided an opportunity to create value for users by having the GenAI mimic the personalities, communication styles, and knowledge of real-life figures from both the past and present.

The model is trained using publicly accessible information, obviously drawing reference to the mentor and using their unique style of delivery to create a tailored experience. The delivery will also reflect literature outlining what exactly successful mentoring is all about (Balse et al, 2023) (Tepper, 1996).

The proposed solution to attack the market that we argued as being vulnerable creates value by modifying the standards associated with the concept. Opposed to traditional mentoring, we were able to centralize the fragmented market (You typically cannot ask a finance mentor for marketing advice), mentors are also often costly (Try finding an expert for 19,99 EURO per month), and best of all this thing has no location constraints and its delivery is near instantaneous!

The value created is then captured via advertising and a subscription to our service. Users are still able to take free advantage of the model but there will be advertisements for them. To ensure that our value is continually monitored for beneficial adjustments to be made, success metrics were identified. The metrics chosen encompass the diffusion of our technology, profitability, and user-centered value creation.

The generation of a prototype using the custom GPT function was deemed important for several reasons. A prototype allows us to first get a grasp of how the idea would look in practice, so in essence, we were able to understand our offering better (In our report we referred to this as the validation of the concept), obviously, we were also able to test the functionality of idea and test how feasible it really is (Arnowitz et al, 2007). All of these insight were then used to create a rough estimation of risk.

Please try it out!

https://chatgpt.com/g/g-rYpcrrwZF-aidvise

References:
Arnowitz, J., Arent, M., & Berger, N. (2010). Effective prototyping for software makers. Elsevier.

Balse, R., Prasad, P., & Warriem, J. M. (2023, December). Exploring the Potential of GPT-4
in Automated Mentoring for Programming Courses. In Proceedings of the ACM
Conference on Global Computing Education Vol 2 (pp. 191-191).

Tepper, K., Shaffer, B. C., & Tepper, B. J. (1996). Latent structure of mentoring function scales. Educational and psychological measurement, 56(5), 848-857.

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Over the last month, a new piece of innovation has tickled my interest. I almost didn’t want to tell you about it.

Assuming that you are like me, unaware of breakthroughs unless social media tells you about it, here, get caught up:

Pretty insane. Pretty ******* insane. What you saw is a no-code automation platform that allows for seamless and streamlined automation of mundane tasks and workflows. The integration of some of the most well-known applications creates possibilities that seem endless to me.

Let’s narrow my month-long experience down. I have been attempting to automate the creation of social media posts. Make, recently introduced full Youtube integration and I wanted to take equally full advantage of it for the chance to leech off the elusive concept of passive income. While I was able to (essentially) automate the creation of quizzes with music and a delayed highlight of the correct answer it was nothing I would ever continually watch.

The experience, however, got me thinking…

This was my first interaction with what I would expect future coding to be. Make.com offers users the opportunity to build complex automation and integrations without conventional expertise. I mean sure, deep coding expertise will likely always be needed to reach into the nicks and crevices of software, but c’mon if this isn’t exciting!

What it now allows for (in my mind) is a paradigm shift, the adjustment caters to a whole new target audience. It feels as if Michael Porter himself tore the barriers to entry wide open. Foregoing, technical prowess the focus has shifted towards problem-solving and even more so creativity. The user-friendly interfaces cater to intuition. Do the creative types now take over technical jobs?

And the best part? It’s free!

References:

Make. (2022, February). What is Make?. [Video]. Youtube. https://www.youtube.com/watch?v=ADpijI_TqnE

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The emergence of any developing, powerful, and omnipresent technology sparks discourse and advocates regulation. With the evolution of such a distinct technology as AI, a technology that has already seamlessly woven itself into so many parts of our lives, unforeseen consequences may already be upon us. AI seems to simplify lives, but at what cost?

Listen, I don’t see us getting full Age of Ultron, where AI aims to cleanse the world of what it computes its survival needs (elimination of humans), or at least I have no rational reason to think so… but… for this blog post’s sake, let’s consider an environment similar to what the current generation has experienced with the dawn of smartphones, social media, and general digitalization. Let’s consider the next generation that effortlessly integrates and takes full advantage of the tool.

An uproar of AI use, may sever more humanity and individuality than social media already has. A recent study exploring the impact on decision-making and laziness in education found that dependency on the homework-time-reducing tool saw significant negative changes in all dependent variables.

Now is this enough to say that AI makes us lazy and indecisive?

No, of course not, its context and experimental conditions make the insight subjective. Nonetheless, the intuition that if we continually rely on a software that reduces our opportunities to be productive, make decisions, and perform critical thinking, now that is something we should hold on to.

The otherside of the coin ought to be explored. AI is an amazing innovation that augments efficiency, provides varying perspectives, and continually improves. Wanting to abstain is almost as big of a fallacy as creating a dependency. It is the relationship with the tool that requires immediate and extensive attention.

References:

Ahmad, S. F., Han, H., Alam, M. M., Rehmat, M., Irshad, M., Arraño-Muñoz, M., & Ariza-Montes, A. (2023). Impact of artificial intelligence on human loss in decision making, laziness and safety in education. Humanities and Social Sciences Communications, 10(1), 1-14.

Vox. (2024). We’re already using AI more than we realize. [Video]. https://www.youtube.com/watch?v=YsZ-lx_3eoM

Zhang, S., Zhao, X., Zhou, T., & Kim, J. H. (2024). Do you have AI dependency? The roles of academic self-efficacy, academic stress, and performance expectations on problematic AI usage behavior. International Journal of Educational Technology in Higher Education, 21(1), 34.