Author ORCID Identifier
Dereje Mulat Ferede: https://orcid.org/0000-0002-8485-6353
Soo II Shin: https://orcid.org/0000-0002-2320-1003
Dominic Thomas: https://orcid.org/0000-0001-5369-2467
Getachew Hailemariam: https://orcid.org/0009-0007-0685-126X
Solomon Negash: https://orcid.org/0000-0002-8622-7024
Abstract
This study examines two artificial intelligence (AI) issues. First, we examine the sustainable development challenges and workarounds of AI and offer policy recommendations. We applied the “Strategy-as-Practice” framework and collected input from expert interviews and secondary sources. With this, we respond to three AI challenges: developing AI infrastructure and data management, developing an AI workforce and localized innovation, and building AI awareness and policy frameworks. Second, we propose a 2x3 framework that looks at the pros and cons of the three facets of AI—autonomy, learning, and inscrutability. This enables managers and policymakers to assess their institution’s or country’s AI progress, mapping what they are doing (pros) and what they are overlooking (cons) in the 2x3 framework. The study examines how these responses are shaped by the practices and involvement of both AI and non-AI practitioners. These insights contribute to the literature on Information Systems strategy, policy, responsible AI, and AI operationalization.
Recommended Citation
Ferede, D. M., II Shin, S., Thomas, D., Hailemariam, G., & Negash, S. (In press). AI in Ethiopia: Progress Analysis Technique and Recommendations for Implementing Sustainable Development. Communications of the Association for Information Systems, 58, pp-pp. Retrieved from https://aisel.aisnet.org/cais/vol58/iss1/40
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