Translating Ethical AI Principles into Practice: Bridging the Gap in Kenya

dc.contributor.authorOgore, Fredrick Michael
dc.date.accessioned2025-03-20T08:37:36Z
dc.date.available2025-03-20T08:37:36Z
dc.date.issued2024
dc.descriptionConference Paper
dc.description.abstractIn 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.
dc.description.sponsorshipDaystar University
dc.identifier.citationOgore, F. M. (2024). Translating Ethical AI Principles into Practice: Bridging the Gap in Kenya. Daystar University, Global Cybershield Conference
dc.identifier.urihttps://repository.daystar.ac.ke/handle/123456789/6510
dc.language.isoen
dc.publisherDaystar University, Global Cybershield Conference
dc.titleTranslating Ethical AI Principles into Practice: Bridging the Gap in Kenya
dc.typePresentation

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Translating Ethical AI Principles into Practice.docx
Size:
12.98 KB
Format:
Microsoft Word XML
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: