Browsing by Author "Ogore, Fredrick Michael"

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    Ethical Research Using Artificial Intelligence in Academic Research: A Systematic Review of Current Practices, Challenges, and Future Directions.
    (Daystar University, Global Cybershield Conference, 2024) Ogore, Fredrick Michael
    The ethical implications of using artificial intelligence (AI) in academic research are examined in this systematic review, which also covers present practices, obstacles, and suggested future paths. Using a variety of primary and secondary sources, the study seeks to present a thorough review of the ethical issues raised by the application of AI technology in academic research. The first section of the paper outlines the fundamental ideas of ethical research, stressing the significance of openness, justice, and the defense of individual rights in the context of AI applications. After that, it analyzes how ethical research methods are currently going, showing areas where academics and institutions agree and disagree. The danger of algorithmic bias, the necessity of strong data governance, and the necessity of transparently communicating AI methods and results are some of the major issues that are covered. The study delves into new techniques for tackling these issues, including the creation of moral standards, encouraging openness in AI research, and fostering interdisciplinary approaches to moral investigation. In the future, the study suggests a number of research avenues, such as investigating new ethical frameworks appropriate for the intricacies of artificial intelligence, improving public participation mechanisms in AI research, and pursuing international collaboration to create worldwide guidelines for moral AI research. In the end, this systematic study aims to highlight the importance of ethical considerations in the development of AI technologies and to educate and motivate future conversations on the ethical implications of AI in academic research.
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    Translating Ethical AI Principles into Practice: Bridging the Gap in Kenya
    (Daystar University, Global Cybershield Conference, 2024) Ogore, Fredrick Michael
    In order to close the gap between ethical principles in artificial intelligence (AI) theory and their real-world implementation throughout Kenya, this research offers a thorough guide. It provides a structured method for integrating ethics into the AI development cycle, addressing the crucial problem of converting moral precepts into practical frameworks. The goal of the guide is to provide all relevant parties including corporations, governments, and legislators with the information and resources they need to successfully negotiate the murky waters of AI ethics. It will provide guidelines for creating a responsible AI culture, using national laws and already-existing policies like the Africa Union Data Policy Framework as pillars. The report will offer suggestions for promoting ethical AI innovation, stressing the significance of outcomes-based regulation and the incorporation of AI assistive technologies for people with disabilities. Kenya can move toward a future where AI positively impacts social welfare and economic inclusion by embracing the values outlined in this guide, ensuring that technological advancements are morally sound and advantageous to all.