Artificial Intelligence (AI) has infiltrated every sphere of our existence. Its advent and subsequent evolution have sparked a multitude of opinions, and amidst the many discussions it has sparked, there’s a consensus — The influence of A.I. is here to stay and will play a pivotal role in the future of humanity.
The A.I revolution genuinely gained momentum with the introduction of the generative model from Open A.I, Chat G.P.T, around 2021. Since then, a diverse range of AI applications have carved out their space across different industries. These tools, while not flawless, continue to redefine the future of artificial intelligence with their impressive performance.
The question that inevitably comes up in the artificial intelligence discussion is, “Will these tools replace humans?”. Predicting the future of artificial intelligence in human roles is challenging, but current observations suggest that many industries are safe from total automation. Humans offer unique communicative nuances that these tools, at present, find challenging to replicate fully.
This article, however, shifts focus towards another aspect shaping the future of artificial intelligence, the move towards generative A.I models to assist with information retrieval. Let’s look at a few key points that illustrate this emerging trend:
Shift from Traditional Search Engines: More and more users are transitioning from search engines like Google to AI platforms such as Chat GPT4. Given the convenience provided by browser extensions that facilitate the use of Google’s data through Chat GPT, this trend seems to be a harbinger of the future of artificial intelligence.
Impact on Information Access: As more people transition from Google to AI-driven platforms, Google’s ability to index all available data gets limited. Consequently, this could restrict the breadth of information available to Google Search users, altering the future landscape of search engine usage.
Plagiarism and Data Ownership: Generative AI models consume a significant amount of data to learn and generate results. This process raises a critical question impacting the future of artificial intelligence: Who owns the data, and how can plagiarism be prevented?
Here, we see the intersection of AI and Non-Fungible Tokens (NFTs). Could NFTs present a solution to the challenges of data ownership in the AI landscape?
NFTs and Data Ownership: One potential solution to data ownership in the future of artificial intelligence is NFTs. A unique identity could potentially be attached to digital items, from images to posts, helping trace the origin of data and establish clear ownership. As of right now, the method used to detect AI usage has been pattern analysis of text and verbiage. Chat GPT is naming this term “watermarking”, although it doesn’t necessarily pertain to images.
Legal Mandates: For this model to work effectively, new laws may need to be enacted, further influencing the future of artificial intelligence. These laws could hypothetically mandate AI models to publicize their training data, identify the copyright owners, and pay appropriate royalties.
Feasibility of the Solution: While this offers an innovative solution, the practical implementation poses significant challenges, given the legal and technical hurdles involved. Our consensus is that the legal systems need to evolve quickly to handle generative A.I and prevent inequity and copyright infringement.
As we chart our course through the rapidly evolving landscapes of AI, it’s fascinating to consider these possibilities and what they could mean for our digital future. The future of artificial intelligence is a path filled with potential, and we stand on the brink of a revolution, poised to navigate the myriad possibilities that lie ahead.