Vol. 3 No. 3 (2024): Exploring Ethical Dilemmas in Artificial Intelligence and Machine Learning

View Vol. 3 No. 3 (2024): Exploring Ethical Dilemmas in Artificial Intelligence and Machine Learning

Volume 3, Issue 3 of the Journal of Knowledge Learning and Science Technology delves into the complex terrain of ethical considerations in Artificial Intelligence (AI) and Machine Learning (ML). As AI and ML applications continue to proliferate across various sectors, from healthcare to finance, questions surrounding their ethical implications become increasingly paramount. This edition aims to explore the multifaceted ethical dilemmas arising from the adoption and deployment of AI and ML technologies. Articles in this issue will scrutinize issues such as algorithmic bias and fairness, privacy concerns in data-driven decision-making, the accountability of autonomous systems, and the societal impacts of AI-driven automation. Additionally, the issue will feature contributions on the ethical responsibilities of AI developers, the regulation of AI technologies, and the ethical frameworks guiding AI research and development. Through this comprehensive examination of ethical challenges in AI and ML, the journal seeks to foster critical dialogue, raise awareness, and provide guidance for navigating the ethical complexities inherent in the advancement of AI and ML technologies. By addressing these issues, the journal endeavors to contribute to the responsible development and deployment of AI and ML systems for the betterment of society.

DOI: https://doi.org/10.60087/jklst.vol3.n3
Published: 09-04-2024

Articles

  • THE GIG ECONOMY: CHALLENGES FOR TAX SYSTEM

    Beatrice Oyinkansola Adelakun (Author)
    1-8
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p1-8

  • REGULATING ALGORITHMIC ASSEMBLAGES: EXPLORING BEYOND CORPORATE AI ETHICS

    Islam Md.Mafiqul (Author)
    9-19
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p9-19

  • ENHANCING MACHINE LEARNING PERFORMANCE: THE ROLE OF GPU-BASED AI COMPUTE ARCHITECTURES

    Bhuvi chopra (Author)
    20-32
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p40

  • ROBO-ADVISORS: REVOLUTIONIZING WEALTH MANAGEMENT THROUGH THE INTEGRATION OF BIG DATA AND ARTIFICIAL INTELLIGENCE IN ALGORITHMIC TRADING STRATEGIES

    Han Wang, Jinxin Xu, Qishuo Cheng, Yuqiang Zhong, Lichen Qin (Author)
    33-45
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p33-45

  • TYMELINE WHITE PAPER - EXPLORING TEAM PRODUCTIVITY THROUGH THE APPLICATION OF ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGY

    Shrikarnag Prahallada, Ranjitha Sridhar Rao, Lohith Dayananda Ram, Shrivatsa Bangalore Prahallada, Deepashree Abhaya (Author)
    46-52
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p46-52

  • ENHANCING FINANCIAL SERVICES THROUGH BIG DATA AND AI-DRIVEN CUSTOMER INSIGHTS AND RISK ANALYSIS

    Tianyi Yang, Qi Xin, Xiaoan Zhan, Shikai Zhuang, Huixiang Li (Author)
    53-62
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p53-62