Artificial intelligence and potential problems

This thesis investigates the complex and evolving landscape of artificial intelligence (AI), and delves into the potential problems associated with its rapid development and widespread deployment.

AI has emerged as a transformative technology, impacting various aspects of human life, including healthcare, transportation, finance, and entertainment. However, alongside its numerous benefits, AI also brings forth a host of ethical, social, and technical challenges that demand careful consideration.

The thesis begins by outlining the fundamental concepts and techniques behind AI, providing a comprehensive understanding of its capabilities and limitations. It explores the various forms of AI, including machine learning, natural language processing, deep learning and computer vision, highlighting their respective applications and implications.

One of the key areas of concern addressed in this thesis is the ethical dimension of AI. The thesis examines the potential biases embedded within AI systems, the ethical dilemmas surrounding AI-driven decision-making, and the implications for privacy and security.

It also investigates the impact of AI on employment and the potential socio-economic disparities that may arise from widespread automation. This thesis also explores the societal implications of AI, such as its influence on social relationships, human behaviour, and the erosion of privacy.

It delves into the ethical considerations of AI in autonomous vehicles, healthcare systems, and military applications, shedding light on the potential risks and consequences.

In addition to ethical and social challenges, the thesis also analyses the technical hurdles that must be overcome for AI to reach its full potential. It examines issues related to data quality and availability, algorithmic transparency and interpretability, and the limitations of current AI technologies.

Furthermore, it explores the risks associated with AI development, including malicious use, unintended consequences, as well as the need for robust governance frameworks. Finally, the thesis concludes by proposing a multidisciplinary approach to address the potential problems associated with AI. It emphasizes the importance of collaboration among researchers, policymakers, industry stakeholders, and the public to develop ethical frameworks, regulations, and guidelines for a responsible AI deployment.

It also highlights the need for ongoing research, education, and public engagement to ensure ethical and equitable development of AI technologies.