Challenges in Detecting AI-Generated Content Due to Legal Gaps and Limited Verification Tools
In today’s rapidly advancing digital world of artificial intelligence (AI), a rising issue that has not received sufficient attention in Nepal is the potential for AI systems to commit plagiarism β the unattributed copying or reproduction of existing works, this has led to a debate on two key points: firstly, defining what constitutes plagiarism in the context of AI, and secondly, what to call it when AI-generated content unintentionally reproduces copyrighted material. As AI technology continues to make long, especially in areas like natural language processing & the generative AI models, similarly the risk of these systems plagiarizing copyrighted materials is a significant legal & the ethical concern that demands immediate action in global world including Nepal.Β One of the primary challenges that has been observed is, in the fact that AI models they are trained on vast troves of data, encompassing online text, books, & various other sources, some of which may be copyrighted material. While this training process is designed to enable the model to comprehend patterns in the data & to generate new content based on those patterns, there is a risk that the model may inadvertently reproduce verbatim or closely paraphrased portions of the training data, effectively committing plagiarism.Β This issue raises questions about the potential violation of intellectual property rights & the erosion of trust in Artificial intelligence -generated content. So for this portion an Urgent steps is necessary to be taken to address these problem & tis also necessary to establish clear guidelines, rules, law inorder to safeguard the rights of content creators & ensure the responsible development of AI technologies.
The capabilities of modern Artificial intelligence systems or called as digital intelligence system to analyze large amounts of data, to recognize patterns, & to generate human-like text, images, or other creative outputs that have opened up a Pandora’s box of legal complexities. While these technologies hold immense potential for enhancing productivity, creativity, & innovation, they also introduce the risk of inadvertently reproducing copyrighted works, so without proper attribution. Example , for instance, a situation where an AI language model or digital language model , which are trained on a vast amount/corpus of online data, generates text that bears striking similarities to existing copyrighted materials, such as a books, a articles, or even an entire websites. The absence of such clear rules and legal guidelines, it has become a challenging situation to determine as whether such instances constitute plagiarism or fair use, & also it is challenging that who should be held accountable β the developers of the AI system, the users deploying it, or the AI itself?
So, potential for digital intelligence systems to engage in plagiarism, as whether as intentionally or as unintentionally, is raised a ticking time bomb that could have severe legal & ethical ramifications. Thatβs why, without a robust legal and system framework in place, we risk opening the floodgates to unchecked imitation & copyright infringement, stifling creativity & undermining the rights of content creators. Laws are also not enough to determine AI Plagiarism, a perfect tool is also necessary, all online tool presented in Google are the able to determine the original text and AI generated text.
Alarmingly, the existing legal laws of Nepal is woefully ill-equipped to address the complexities of AI plagiarism says Supreme Court Advocate & Nepal Law Campus Lecture Dr.Newal Chaudhary as further Dr.Chaudhary stated with us that, even the paraphrased statement are not covered in the existing laws of Nepal. The nations copyright laws, largely modeled on outdated international frameworks, is determined to be called fail to account for the unique challenges posed by AI-generated content & the intricate issues of attribution & ownership.Β Current legal landscape of Nepal is a virtual desert when it comes to addressing the implications of AI plagiarism, we find ourselves in a precarious position where cutting-edge technologies are outpacing our legal structures, leaving us vulnerable to potential abuse & exploitation. Β So this legal void gap has not only jeopardizes the rights of content creators but also has created an environment of uncertainty for businesses & entrepreneurs seeking to leverage AI technologies responsibly. So without having the clear guidelines, an organizations may inadvertently infringe on copyrights, exposing themselves to legal liabilities & reputational risks.
Addressing these legal gap surrounding AI plagiarism in Nepal requires a different dimensional approach and discipline which may involves in collaboration with and between the policymakers, the legal experts, the technology professionals, & the stakeholders from various industries says. For This, Nepal must need to prioritize the development of comprehensive legislation that addresses and able to addresses the unique challenges posed by AI-generated content & the AI Posed plagiarism. In fact this may involve in the process of updating existing copyright laws or introducing new legal frameworks specifically focused to the AI world. In this situation the legislation should provide clear guidelines on the ownership & attribution of digital intelligence-generated works, as well as to establish liability frameworks for instances of plagiarism or copyright infringement. In addition to legal measures, it is important inorder to establish ethical guidelines for the development and deployment of AI systems, particularly those capable of generating creative outputs. Likewise these guidelines should emphasize principles of transparency, accountability, & within the respect for intellectual property rights. Likewise they should also focus on addressing the issues related to algorithmic bias, privacy, & the responsible use of AI in content creation. The expert Developers of AI systems should be encouraged, or should be mandated, to implement technological safeguards that can detect & prevent potential instances of plagiarism. This could may involve in integrating plagiarism detection algorithms, watermarking techniques, or other copyright protection mechanisms into AI models. In Addition, AI systems should be designed with transparency & explain ability in mind, allowing for the traceability & attribution of generated outputs. Fostering public awareness & education about the risks of AI plagiarism plays a vital role in this condition. Empowering content creators, a businesses, & the general public with knowledge about their rights & responsibilities, we can cultivate a culture of responsible AI utilization & respect for intellectual property. Likewise Educational campaigns, a workshops, & the training programs should be launched to promote digital literacy & ethical digital intelligence practices. Likewise the global nature of digital intelligence technologies & the cross-border implications of plagiarism, the state should actively engage in international dialogues & efforts to develop harmonized legal frameworks & best practices for addressing AI plagiarism.