Competition in any field can upset the established balance and lead to significant changes in supply and demand. This has been exemplified throughout history by events such as the assassination of Franz Ferdinand, which triggered the First World War, or the Russia-Ukraine conflict. Similarly, with the emergence of ChatGPT, we are experiencing a similar situation in the field of artificial intelligence. In this article, we will discuss the ethical boundaries of artificial intelligence, political correctness, and the role of changing knowledge flow dynamics.
ChatGPT is the face of almost all AI studies to date. Even people who have no connection to the field immediately think of ChatGPT when they hear the term "artificial intelligence." The Metaverse concept, when first introduced, led to everyone buying Metaverse tokens without questioning it. Similarly, now everyone is trying to grab a piece of the AI trend. Google quickly released a similar chat application called "Bard," Facebook announced a design-based AI named "SAM," and we have seen countless new applications. Mark Zuckerberg had been searching for a way to catch up with Google and Apple since 2015. He targeted VR-AR and placed importance on Metaverse adaptation. However, as we can see, the AI trend has provided the new competition ground he was seeking.
The company that benefited most from this trend was Microsoft. By investing 1 billion USD in OpenAI in 2019, it received a return on investment that was several times higher through ChatGPT. Microsoft can access ChatGPT's core team and non-public data directly. By integrating ChatGPT into Bing, they gained an advantage over everyone else. Bing currently has 100 million users, and 33% of them came after the ChatGPT integration. Every 1% of market share Bing steals from Google yields a 2 billion USD return for the company.
Therefore, to maintain the momentum that Microsoft possesses, it is essential to stay one step ahead of their AI competitors. The company's priorities have evolved completely towards speed and market domination. First, Microsoft completely disbanded the team responsible for defining ethical values in AI. However, it is critical to address the ethical considerations surrounding artificial intelligence. AI must be transparent, fair, unbiased, and socially responsible.
One of the significant challenges for AI ethics is the fuzzy ideologies surrounding it. There is no clear line between what is right and wrong in this field, and what is ethical can change depending on the situation. Moreover, the rapid pace of technological advancement makes it difficult to keep up with the implications of each innovation. Therefore, it is crucial to establish principles that promote ethical AI development.
Another crucial aspect of AI ethics is the need to manage the changing flow of knowledge. We are in an era where data is generated at an unprecedented rate, and AI can analyze it in real-time. This creates an enormous potential for bias to creep into AI systems. Therefore, we need to ensure that AI algorithms are designed to detect and mitigate any biases that may exist in the data they analyze. Moreover, we need to ensure that the data used to train AI systems is diverse and inclusive, reflecting the diverse perspectives and experiences of people from all backgrounds. This can help prevent AI systems from perpetuating existing biases and discrimination.
Additionally, we need to consider the impact of AI on the job market and society as a whole. While AI can create new job opportunities and increase productivity, it also has the potential to disrupt entire industries and displace workers. Therefore, we need to ensure that AI is developed and implemented in a way that promotes human well-being and social responsibility. This means considering the broader implications of AI development beyond just economic benefits and ensuring that AI is used to benefit society as a whole.
