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TRUVACE RECORD VERSION
record: TRV-2026-0493
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-07-22T04:01:55.363992Z
status: published
lens: trace
sector: policy
headline: The Impact of Artificial Intelligence on Public Sector Decision- Making: Benefits, Challenges, and Policy Implications
dek: Artificial intelligence (AI) is increasingly transforming government decision-making processes. This article presents a systematic literature review of 43 studies (2020-2025) examining AI’s impact on public-sector decision-making, delineating its advantages, disadvantages, policy implications, technical aspects, and ethical concerns. The findings indicate that AI technologies offer significant benefits for government decision-making, including improved efficiency, data-driven insights, and enhanced service deliv…
gain_title: AI adoption in government was found to improve efficiency and service delivery through automation of routine tasks and predictive analytics.
problem_title: Integration of AI into government decision-making introduces algorithmic bias, transparency deficits, and accountability challenges that raise fairness and privacy concerns.
trace_subject: AI use for government decision-making
gain_reading: AI adoption in government was found to improve efficiency and service delivery through automation of routine tasks and predictive analytics.
gain_evidence: including improved efficiency, data-driven insights, and enhanced service delivery | automation of routine tasks and predictive analytics
problem_reading: Integration of AI into government decision-making introduces algorithmic bias, transparency deficits, and accountability challenges that raise fairness and privacy concerns.
problem_evidence: such as algorithmic bias, transparency deficits, accountability challenges, and ethical dilemmas in public governance | fairness, privacy, transparency, and public value alignment
quick_read: A systematic review of 43 studies from 2020-2025 examined how artificial intelligence is transforming government decision-making, finding benefits in efficiency and data-driven service delivery alongside drawbacks including bias and transparency deficits.

The findings matter because governments are deploying AI for high-stakes decisions, and the review indicates that without governance frameworks, regulatory oversight, and attention to data quality and explainability, efficiency gains may be undermined by erosion of accountability and public trust.
limitation: 
tag: Automated dual reading
key_points: Systematic literature review of 43 studies from 2020-2025 on AI in public-sector decision-making. | Technical success factors identified include data quality, system integration, and explainable AI. | Policy response calls for robust governance frameworks, regulatory oversight, and ethical guidelines to ensure accountability and public trust.
rundown: The review synthesized 43 peer-reviewed studies published between 2020 and 2025 to map advantages, disadvantages, policy implications, technical aspects, and ethical concerns of AI in government.

Authors highlight that data quality and explainable AI are critical for implementation, while ethical debates center on fairness, privacy, transparency, and alignment with public values.
sources:
- peer_reviewed | International Review of Management and Marketing | https://doi.org/10.32479/irmm.19419 | 2025-08-22
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