Disclaimer: Opinions expressed in this article are solely those of the author and do not necessarily reflect the views of any affiliated individuals or companies.

If you favor video content, you can find a video where I delve into these topics, presenting the same content in a different format here:

Introduction

Generative AI has sparked a divisive debate among creatives and technologists alike. While some vehemently oppose its rise, others see it as an inevitable progression. Recently, I immersed myself in this discourse by integrating generative AI features into my game, School of Magic, despite the apprehension and sleepless nights it brought.

Why I’m Not Alarmed by Generative AI

1. Job Displacement Concerns: While the fear of job loss due to automation is valid, the future remains uncertain. I also believe that clinging to traditional job structures isn’t sustainable in an increasingly automated world. Embracing change and exploring solutions like universal basic income can pave the way for a more equitable society. In the interim, compensating content creators for their contributions to AI-generated content is crucial to mitigate economic ramifications.

2. Positive Impact: Generative AI has the potential to revolutionize production processes, particularly for small businesses. It allows for substantial improvements in quality without exorbitant costs, benefiting consumers and creators alike.

3. Ethical Data Usage: The ethical implications of data collection for AI training cannot be overlooked. Proposing ethical scraping practices, coupled with fair compensation for content creators, is crucial. Blanket bans on data scraping risk hindering progress and favoring tech giants over smaller entities. This could result in only a select few inexpensive content creators benefiting, leaving others without compensation. Although the quality of AI may experience slight declines, examples like Adobe Firefly demonstrate that ethical sourcing can still yield satisfactory outcomes, highlighting the persistent challenge of compensating content creators even in a consent-based scraping scenario.

How I decide which AI Systems to use
In navigating the realm of AI systems, I apply the same ethical framework I employ in all aspects of life. My aim is to consistently opt for ethically sourced solutions and support individuals who uphold these standards. While my actions may not immediately reshape the landscape, I am convinced that meaningful change demands regulatory intervention. Thus, I prioritize advocating for regulations that uphold ethical standards over solely altering personal consumption habits through voting and supporting individuals in positions of power to enact these changes. Nevertheless, I do make exceptions based on the gravity of the issue and the effort required. While AI ethics remains a consideration, I prioritize addressing more pressing concerns like child labor and worker rights. This strategic allocation of resources underscores the importance of systemic change beyond individual actions.

Crafting a Solution

To address the challenges posed by generative AI, I propose a compulsory licensing system. This framework would ensure content creators receive compensation for the use of their data in AI models. Implementing such a system requires collaborative efforts and nuanced strategies, such as tying payments to specific prompts or terms. By compensating for usage rather than just training, smaller companies can access AI capabilities while ensuring fair compensation for content creators.

Conclusion: Paving the Way Forward

Generative AI presents both opportunities and challenges. By fostering dialogue and embracing ethical frameworks, we can navigate this evolving landscape responsibly. Finding equitable solutions is imperative to ensure that AI enriches rather than undermines the creative ecosystem. As a father, I envision a future where high-quality content (a book for my kid written by an author) coexists with personalized experiences (a kids book made specifically for my son with the help of AI), enriching everyday life for all.