As part of my work at Remagine Ventures, I am constantly impressed by the incredible advancements made possible by generative artificial intelligence (AI) technologies. From natural language processing to image and gaming, the possibilities are endless. We are all dealing here with exciting, scary, and inspiring technologies that will probably drastically change the way we live. I believe that even the greatest minds who are leading this revolution are not quite sure what to expect from it.
We can probably try to imagine what the next five years to come may look like, but can we think about how the world will look like in 10, 15, 70 years? Those times will come eventually, and while we can’t predict the future, we can definitely start taking some more issues under consideration while embracing those changes into our lives. Thus, as these technologies continue to evolve, it is essential that we consider the moral implications of their use.
Creators in an AI generated content world
For starters, let’s think about all the creators out there: Generative AI technologies, in essence, create new content that did not previously exist. While this can be exciting and innovative, it also raises important questions about who owns the content created by AI. For example, if a machine learning algorithm generates a new song or piece of artwork, who should be credited for that work? Should it be the AI creator, the person who trained the algorithm, or the end-user who requested the output? That’s a big question I am not sure we have a good answer for.
Removing bias from AI training
Another important concern is addressing the potential for generative AI to perpetuate harmful biases and stereotypes. These technologies learn from the data they are trained on, and if that data is biased, then the AI’s outputs will reflect that bias. For instance, if an AI is trained on data that reflects gender or racial biases, it could lead to biased outcomes in the content it generates. This could have far-reaching consequences in areas such as hiring or lending decisions, where automated processes are increasingly being used.
Privacy and the risk of impersonation
Privacy is also a key concern when it comes to generative AI technologies. These tools can create incredibly realistic and convincing content, which could be used for nefarious purposes such as creating fake videos or images that could be used for identity theft or fraud. Also, have you ever thought about what happens with all the information we share with Chat GPT, for example? Or what can be done with all the information about you that the platform already received? Just this month Samsung banned its employees from using ChatGPT after a sensitive code leak.
AI and human creativity
Furthermore, the use of generative AI technologies raises questions about the role of humans in the creative process. As machines become increasingly capable of creating original content, it is natural to wonder whether humans will be needed at all. While it is unlikely that AI will completely replace human creativity, there is a chance that these technologies could change the value placed on human creative work, which could have negative consequences for the arts and culture as a whole. With creative platforms such as Midjourney that are evolving at an exponential rate, there are a lot of questions to be asked about how we would see and appreciate creations in the future. I believe that creativity is here to stay – but the way we define it, perceive it, and evaluate it will change drastically in the near future.