Publisher

LAMINTANGLAMINTANG

Journal International Journal of Artificial IntelligenceInternational Journal of Artificial Intelligence Abstract

The Danish National AI Strategy presents a structured approach to building an ethical and innovative AI ecosystem. It emphasizes four main pillars: ethical AI development, public data utilization, skills development, and strategic technology investment. The strategy has achieved notable success, especially in the education sector, where ethical principles like fairness, transparency, and accountability are well-integrated. However, issues such as algorithmic bias and fairness remain, indicating the need for ongoing refinement of ethical frameworks. Public data plays a central role in AI innovation, particularly in healthcare and education. Yet, challenges related to data privacy and access continue to pose obstacles, highlighting the importance of robust data governance. Skills development programs have helped prepare the workforce for AI-related roles, though limited employer participation, especially among small businesses, suggests the need for more inclusive outreach. Furthermore, while government and private funding have supported advanced AI research, the transition from innovation to practical application still faces gaps. This study employed a qualitative descriptive approach, utilizing document analysis and thematic analysis based on data from government publications and expert interviews with 20 stakeholders, including policymakers and AI specialists. The findings provide valuable insights into Denmarks AI journey and serve as a reference for other countries aiming to implement responsible, inclusive, and sustainable AI strategies.

Conclusion

Denmarks National AI Strategy has demonstrated progress in fostering an ethical, innovative, and robust AI ecosystem.The strategys emphasis on ethical guidelines, public data utilization, skills development, and investment has been instrumental in achieving this.However, ongoing challenges related to data privacy, adoption resistance, and public-private collaboration require continued attention to ensure the long-term success and societal benefits of AI in Denmark.

Future Research

Berdasarkan analisis terhadap strategi nasional AI Denmark, terdapat beberapa peluang untuk penelitian lanjutan yang dapat memperdalam pemahaman kita tentang pengembangan dan implementasi AI yang bertanggung jawab. Pertama, penelitian lebih lanjut diperlukan untuk mengidentifikasi dan mengatasi hambatan spesifik yang menghalangi adopsi AI oleh usaha kecil dan menengah (UKM), serta mengembangkan strategi yang lebih efektif untuk meningkatkan partisipasi mereka. Kedua, studi komparatif antara Denmark dan negara-negara lain dengan strategi AI yang serupa dapat memberikan wawasan berharga tentang praktik terbaik dan tantangan umum dalam tata kelola AI. Ketiga, penelitian yang berfokus pada dampak sosial dan ekonomi dari AI di berbagai sektor, seperti kesehatan dan pendidikan, dapat membantu menginformasikan kebijakan yang lebih inklusif dan berkelanjutan. Penelitian ini harus mempertimbangkan implikasi etis dari penerapan AI, termasuk potensi bias algoritmik dan masalah privasi data, serta mengusulkan mekanisme untuk mitigasi risiko. Dengan melakukan penelitian-penelitian ini, kita dapat memastikan bahwa AI dikembangkan dan digunakan secara bertanggung jawab untuk kepentingan masyarakat luas.

References

1. A Policy Analysis of the Danish National AI Strategy: Ethical and Governance Implications for AI Ecosystems... doi.org/10.36079/lamintang.ijai-01201.802A Policy Analysis of the Danish National AI Strategy Ethical and Governance Implications for AI Ecosystems doi 10 36079 lamintang ijai 01201 802

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Pages	13
DMCA	Report