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Title |
Security and Privacy of ChatGPT- Proposed Enhancements |
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Author |
Hamad A. AlJarboua Alshahrani and Waleed A. Alrodhan |
| Citation |
Vol. 25 No. 2 pp. 23-38 |
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Abstract |
ChatGPT Generative AI, driven by machine learning (ML) and deep learning (DL) is playing an increasingly vital role in today's digital world. Generative AI offers significant promise across various industries, such as military, finance, education, energy, and medical services. Nevertheless, since these technologies keep evolving at a rapid pace and have a growing effect, it is crucial that we recognize the various risks associated with them, especially amongst the fields of politics, society, technology, legal and ethics. The results have demonstrated the consequential effects on security, privacy, and ethics in Generative AI ChatGPT which has led to an evident emphasizing on the need for the development or establishment of regulatory legislation. Therefore, it is important to regulate the ChatGPT Generative AI scene, as there are currently no specific regulations governing its secure use. Additionally, there is insufficient awareness of handling sensitive data and its classifications. Furthermore, the work or development of cybersecurity controls is required to align with data management and protection, as well as intellectual property rights, for generative AI systems and applications in order to prevent the leakage of sensitive data, enhance the confidentiality, privacy and integrity of information, and mitigate the resulting effects of generative AI from such potential threats, as the dissemination of misleading information, disclosure of private data, deepfake content, unauthorized collection of sensitive information, and the production of unethical or illegal content during interactions with ChatGPT. This research aims to address this crucial need by analyzing, reviewing, and exploring relevant laws and regulations of data protection and potential regulatory interventions such as the Personal Data Protection Law (PDPL), National Cybersecurity Authority (Data Cybersecurity Controls), NCA-DCC, and National Data Management Office (NDMO) SADAIA that would help mitigating the relevant risk. In addition to proposing the development of international legislation and regulations, policymakers should begin establishing comprehensive regulations for the adoption of ChatGPT and enhance the efforts of relevant organizations in propagating awareness and education at the level of organizations and individuals for raising awareness among all segments of society and ensuring the application of best practices, data safety, preserving privacy, reliability, and responsibility, which lead to reducing social manipulation and political and ethical risks generally. It is important to implement responsible AI practices and transparency in data usage, bias mitigation techniques, legal matters, and monitoring of generated content for harmful or misleading information (hallucinate). |
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Keywords |
ChatGPT, NCA DCC, LLM, NDMO, OpenAI, Privacy, Ethical, AI, PDPL, Security, GDPR. |
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