Net Neutrality. Developing Business Model and Evidence Based Net Neutrality Regulation

Scientific Essay from the year 2014 in the subject Computer Science - Internet, New Technologies, , language: English, abstract: Over the past ten years, the debate over 'network neutrality' has remained one of the central debates in Internet policy. Governments all over the world have been investigating whether legislative or regulatory action is needed to limit the ability of providers of Internet access services to interfere with the applications, content and services on their networks. Net neutrality comprises two separate non-discrimination commitments. Backward-looking 'net neutrality lite' claims that Internet users should not be disadvantaged due to opaque and invidious practices by their current Internet Service Provider (ISP). Forward-looking 'positive net neutrality' is a principle whereby higher Quality of Service (QoS) for higher prices should be offered on fair, reasonable and non-discriminatory (FRAND) terms to all-comers. Neither extreme in the debate is an optimum solution. There is too much at stake to expect government to supplant the market in providing higher-speed connections, or for the market to continue to deliver without basic policy and regulatory backstops to ensure continued openness. Permitting content discrimination on the Internet will permit much more granular knowledge of what an ISP's customers are doing on the Internet. A co-regulatory regime will ensure oversight and remove the most obvious abuses by fixed and mobile ISPs. Beyond rules that forbid network providers from blocking applications, content and services, non-discrimination rules are a key component of any network neutrality regime. This analytical study provides background on the debate over network neutrality, including the implications for business models going forward that have been attempted and that are currently in play. This article explains for a global policy audience what the regulatory and governance problems and potential solutions are for the issue referred to as 'network neutrality', unpacking its 'lite' and 'heavy' elements. Eschewing technical, economic or legalistic explanations previously tackled elsewhere, it explains that increasing Internet Service Provider (ISP) control over content risks not just differentiated pricing and speed on the Internet. It explains that a co-regulatory regime may ensure regulatory oversight and remove obvious abuses by fixed and mobile ISPs, without preventing innovation, while guarding against government abuse of the censorship opportunities provided by new technologies.

Post Doc and Ph.D. in Artificial Intelligence. I have a profound understanding of cutting-edge technologies such as AI/ML, Data Science, NLP, Generative and Responsive AI, AGI, Neural Networks, Neuro-Fuzzy Expert System, and Quantum Computing. I have had the privilege of guiding and supervising of 75+ postgraduate students in various programs. My research endeavours have yielded over 56+ published research papers, all of which have been recognized in international and national journals with indexing in prestigious databases like Scopus, SCI, Web of Sciences, UGC CARE, and others. In addition, my contributions to the field of innovation include securing three Indian patents. I am a seasoned computer programmer with extensive experience in handling AI projects. Over the years, I have honed my skills in designing, developing, and implementing various AI solutions. My journey in the realm of programming began with a passion for solving complex problems through code.I delved into traditional programming languages, mastering the fundamentals of logic and algorithm design. As technology evolved, so did my expertise. The advent of AI captured my interest, prompting me to explore the possibilities it offered for transforming how we approach problem-solving in the digital age. I have hands-on experience with a range of AI technologies, including machine learning, natural language processing, and computer vision. My proficiency extends to frameworks like TensorFlow and PyTorch, enabling me to build robust and efficient models. Collaboration has been a cornerstone of my career. I've had the privilege of working with diverse teams, contributing my programming expertise to interdisciplinary projects. This collaborative approach has not only enhanced my technical skills but also enriched my understanding of how AI intersects with various domains, from pharmaceutical science to cognitive radio network. In the fast-paced world of technology, staying updated is crucial. Continuous learning is not just a professional obligation but a personal commitment to ensuring that my skills remain cutting-edge. As a forward-thinking programmer, I recognize the ethical considerations surrounding AI. Striking a balance between innovation and responsibility is paramount. I advocate for ethical AI practices, ensuring that the solutions I contribute to are not only technically sound but also align with ethical standards.