Without a doubt, Artificial intelligence (AI) has made great inroads in recent years, especially in areas like machine learning and deep learning which have disrupted innovation positively. Humanity has progressed rapidly from the Stone Age when man depended on his brunt, sheer strength, and crude tools to navigate nature, to arriving at this point in human history where technology pervades every aspect of humanity’s existence. For instance-a subset of machine learning called deep learning now classifies data using layers of non-linear mathematical techniques, thus allowing computers to evaluate data and make choices with little to no human input and generating quick output in real-time.

Throughout the past few decades, technology has advanced quickly and significantly. Many significant turning points in the development of technology include the creation of the first Computers, the optimization of electronic computing processes, and then the internet emerged: Notably, in 1969, the first message was transmitted across the internet. The internet era officially began with this, and since then, it has grown to be an indispensable component of daily life, linking individuals and organizations all over the world. Then came the age of smartphones, and then the emergence of social media, and now we are in the Artificial Intelligence age. AI truly has the potential capacity to revolutionize many industries. These are also enough examples of the many ways AI is used on websites to optimize and improve the user experience and also provide more personalized, efficient, and accurate services.  Examples of such AI tools include Zillow, ZenDesk, Copy AI & Chat Gpt, among others.

Technology usage across several industries is fast changing thanks to AI. This broad area of study includes Machine learning, deep learning, neural networks, as well as other related technologies. These technologies enable machines to act on data without having to be expressly programmed, such as making predictions or decisions. AI has the potential to completely transform a number of industries, including healthcare, banking, law, transportation, and manufacturing. Generally, AI results in enhancement of product quality, predicts equipment problems, and optimizes production processes.



ChatGPT (Chat Generative Pre-Trained Transformer) is a popular chatbot launched by the American artificial intelligence research laboratory, innovation company and open learning advocates OpenAI in November 2022. It is built remarkably on top of OpenAI’s GPT family of large language models and is uniquely equipped and invented with both supervised and reinforcement learning techniques. While it makes sense that a chatbot’s primary purpose is to simulate a human interaction, knowledge, and automate human learning, ChatGPT is much more flexible. For example, it has the ability to create and debug computer programs; to compose music, teleplays, fairy stories, and draft student essays; to answer test questions, e.t.c. ChatGPT is powered by a sophisticated algorithm called a large language model, and this enables it to have a vast reach in its language processing and command response. Natural language processing is a computational method that enables such algorithms, which are fed with enormous amounts of textual data, thus enabling ChatGPT react to prompts, queries and questions in a natural, researched, yet human-like manner.

While ChatGPT has already blown minds and attention of people away based on its depth of knowledge as programmed into it, its responses may even frequently be incorrect. Like all AI automations which may be subject to fact-check introspection, double-check the facts in anything ChatGPT says before using it as a basis for a fact-based choice or decision.

It is also clear that while ChatGPT bears similarities in form and outlook with search engines, it is significantly and fundamentally different. A search engine in practice simply indexes web pages on the internet to help the user find the information asked for through keyword optimization, and with no guarantee of accuracy or claim of same. However, ChatGPT does not have the ability to search the internet for information or variety of response. It basically applies the information learned from training data already configured into it to generate a definite response, which in turn leaves a wide room for error.

ChatGPT is clearly a novel invention with the capacity to improve the quest and search for knowledge, and also appears to be quite remarkable, yet with its limitations. These limitations may include the non-flexibility of ChatGPT to pose responses to questions or queries when presented in a different way, lack of intuitive recognition of an empty/teasing query and the poor quality of certain responses elicited from the platform, which may be overtly vague, incomprehensible or bogus.


As the technology underlying AI develops, it is gradually becoming a bigger part of our everyday lives. AI technologies are now being used by more sectors to improve productivity and speed. These sectors include those in transportation, healthcare, banking, and legal, as examples. These sectors are amenable to its application because it improves client satisfaction while boosting efficiency, cutting costs, and saving time.

The healthcare sector is just one example of the many ways AI is shifting the technological landscape. Virtual nursing aides keep an eye on patients even when physical ones are unavailable, diseases are diagnosed more quickly and accurately, drug discovery is accelerated and simplified, and big data analysis contributes to a more individualized patient experience. Another way by which AI is changing the tide of technology can be seen in education. Textbooks are digitized with the help of AI, early-stage virtual tutors assist human instructors and facial analysis gauges the emotions of students to help determine who’s struggling or bored and better tailor the experience to their individual need. ChatGPT also helps resolve queries which a simple web search may not reveal or have the capacity to address.

AI will surely and definitely have a big effect on everything and affect every sphere and sector with time, including how most jobs are performed and how hiring is done. The Bank of England’s Chief Economist, Andy Haldane, predicts that 15 million jobs in the UK alone will be lost over the next few years. The World Bank also reported in 2022 that more than 60% of the global workforce currently engaged in the banking cum financial industry may likely lose their job relevance and industry fitness with the increase in automation and AI rapid incursions.

The scary prospect of human-ran jobs been lost to automation and AI is not unfathomable- this is because many jobs that will be so replaced are reportedly straightforward, monotonous and repetitive. Hence, equipping computers with commands to repeat an ordered monotonous process is not complex to achieve. Humanity’s worry and fear of AI is rooted in the sense of approaching redundancy, and the prospects of losing employment relevance to machines and computer bots, and this reality may extend beyond occupations. Several industries may not remain the same and more people will have to come to terms with the reality that AI tools and processes are here to stay. Admirably, the surge of AI has indeed enabled the swift delivery of targets that would have taken more time and huge human effort to attain. AI also allows affords the unique processing of large amounts of data and the conduct of business in a manner that is potentially more accurately than ever.


As laudable as the advent of AI, ChatGPT and the implementation of AI technology generally has been, it also brings  to the fore new ethical, legal, and social concerns that cannot be waved aside or shrugged off as inconsequential. These concerns and issues are of varying forms and demand attention as urgently as the need to allow innovation thrive. These issues need to be addressed in order to ensure that the development and application of AI technology and automated processes aligns with legal, ethical and moral principles.

From a legal perspective, the key legal questions and issues up for contention are as addressed below;

  1. The question of Intellectual property:  ChatGPT by its application operates on the internet, sources from internet-based knowledge, is programmed to absorb such knowledge and generates specialized data in order to proffer answers to the queries of the user. This then brings to the fore the question of ownership of the information originally sourced from primary internet-based authorities, which ChatGPT has creatively personalized and adopted.  Recently, content creators and other knowledge aggregating platforms have claimed that AI platforms like ChatGPT have been using their works without their permission.Thus, the contention arises as to who really owns the copyright of the works created by these AI tools, and whether the original creators of the AI platforms or the users as well. In addition to this, the uniqueness of the work created by these AIs cannot be guaranteed because of the way they work. There is also a chance that the same work can be gotten by another person who has input the same prompt in the AI tool.
  1. The usage of artificial intelligence (AI) systems also raises a number of data privacy & security issues. By their programmed nature, AI technologies need and apply a lot of data, oftentimes personal in outlook. In the same vein, sensitive personal data of users, such as private information on financial or medical history and records of individuals often get exposed by AI glitches and the incidence of automation. Thus, the issue of data security, policy and legislations necessary to protect personal data of users from breaches, theft, or misuse on AI automated platforms is vital. This is equally vital as it is now possible that without the subject’s knowledge or agreement, AI-powered surveillance systems, facial recognition technology, and other systems can be used to track and monitor people. Privacy and civil liberties may also be violated as a result of this.
  2. Legal Regulation & AI-focused legislation: Given that AI is here to stay and its electronic prevalence means that it technologically inevitable, there is a need for AI focused legislation, to protect the process and also act as a viable watchdog on the activities of AI platforms and companies to ensure that the law is followed, even as innovation is enabled.


The reality is that all humans must come to terms with the understanding that AI is here to stay and core disruptions in employment and industrial process may yet follow. Notwithstanding the concerns and issues around the applicability of AI, with innovations emerging such as ChatGPT, more complex processes will be simplified, the efficiency of work and results will improve sporadically and humanity will be the better for it. However, as constant as the technological tide turns, changes and advances, issues will keep arising, yet laws must be put in place and respected and regulation should not stifle innovation under any guise.

Should you require professional advice on any of the foregoing please contact Peter-Cole Onele, Mariam Olabiyi, and Eberechukwu Okonkwo. We would be more than happy to assist.

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