Practical Lessons for Government AI Projects

Ramizo, Godofredo

doi:10.2139/ssrn.3840398

Cited by 1 publication

(2 citation statements)

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“…Government officials must determine suitable solutions by critically assessing how governance challenges can be tackled through AI, accompanied by AI sustainability in terms of human talent and government support. Along with winning public trust, it is important to safeguard individual privacy and national interest by effectively managing data, cybersecurity, and confidentiality (Ramizo 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Through these normative frameworks, the public sector can enhance its AI adoption by placing higher importance on ethics, human agency, and trust in the government. They provide a prescriptive landscape for potential unregulated threats and can be used to guard the intended application of AI from unintended harms, such as reduced privacy, loss of accountability, and bias (Ramizo 2021).…”

Section: How May the Public Sector Leverage The Use Of Ai Through Ai ...mentioning

confidence: 99%

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Adoption Frameworks for Artificial Intelligence in the Public Sector

Proceedings of the International Conference on Industrial Engineering and Operations Management

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This systematic review aims to examine how the public sector may leverage artificial intelligence (AI) use through the exploration of AI adoption frameworks and how such frameworks can steer best practices of AI implementation and governance in the sector. Through inclusion and exclusion criteria, 30 articles were retrieved from academic databases, specifically Science Direct, Springer Link, and Wiley Online Library.The AI adoption frameworks are categorized into four groups: Regulatory frameworks, normative frameworks, applicative frameworks, and evaluative frameworks. Regulatory frameworks can provide standardizing and prescriptive guidelines to public sector organizations adopting AI technologies. Normative frameworks can strengthen the ethical and human rights aspects of AI adoption instead of devaluing human skills and eroding human agency. Applicative frameworks can help public sector organizations achieve positive and responsible outcomes for AI adoption. Alternatively, evaluative frameworks can spell improvements in the quality of public service delivery after identifying areas for improvement in an evaluation of AI systems.

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Section: Literature Reviewmentioning

confidence: 99%

Section: How May the Public Sector Leverage The Use Of Ai Through Ai ...mentioning

confidence: 99%

Adoption Frameworks for Artificial Intelligence in the Public Sector

Proceedings of the International Conference on Industrial Engineering and Operations Management

View full text Add to dashboard Cite

show abstract

Practical Lessons for Government AI Projects

Cited by 1 publication

References 4 publications

Adoption Frameworks for Artificial Intelligence in the Public Sector

Adoption Frameworks for Artificial Intelligence in the Public Sector

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