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Innovation and Digital Transformation for a Sustainable World
perspectives and expertise, stakeholders can develop robust
AI frameworks and guidelines aligned with the tenets of
sustainable development, thereby contributing significantly
to the attainment of the UN SDGs.
REFERENCES
[1] Nina Schwalbe and Brian Wahl. Artificial intelligence
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Figure 1 – Conceptualised AI lifecycle stages
[2] Tumaini Mwendile Kabudi. Artificial Intelligence for
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Gaps observed Recommendations
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1 Lack of definitions Standardise AI-incident and
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2 Bias, inconsistencies, Define guidelines for intelligence and sustainable development. The
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3 Insufficient and Standardise AI-incident
[4] Walter Leal Filho, Tony Wall, Serafino Afonso Rui
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4 Inadequate motive to Develop regulatory and
Fardous Mohammad Safiul Azam, Fátima Alves, et al.
report incidents policy frameworks for
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AI-incident reporting
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incidents reported automated incident
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data-sharing protocols mechanisms Anna Felländer, Simone Daniela Langhans, Max
7 Sectoral Sector-specific AI-incident Tegmark, and Francesco Fuso Nerini. The role
underrepresentation databases of artificial intelligence in achieving the Sustainable
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9 Lack of awareness Awareness programs
[6] Shivam Gupta, Simone D Langhans, Sami Domisch,
Francesco Fuso-Nerini, Anna Felländer, Manuela
Standardized incident reporting protocols and mechanisms Battaglini, Max Tegmark, and Ricardo Vinuesa.
proposed by this study will facilitate data-driven mitigation Assessing whether artificial intelligence is an enabler
strategies and product improvement. It will also enable or an inhibitor of sustainability at indicator level.
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[7] Estrella Gomez-Herrera and Sabine T Köszegi. A
Overall, the standardization of AI incident reporting is gender perspective on artificial intelligence and jobs:
crucial for promoting trust, transparency, and accountability the vicious cycle of digital inequality. Technical report,
in deploying AI technologies. By implementing the Bruegel Working Paper, 2022.
recommendations outlined in this paper, stakeholders can
[8] OECD. OECD AI Principles overview.
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https://oecd.ai/en/ai-principles.
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[10] Avinash Agarwal and Harsh Agarwal. A seven-layer
Looking ahead, a concerted effort is required to prioritize model with checklists for standardising fairness
multi-stakeholder engagement and international cooperation assessment throughout the AI lifecycle. AI and Ethics,
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