Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution
Open accessAbstract
Artificial intelligence (AI) is currently being developed by large corporations, and governments all over the world are yearning for it. AI isn’t a futuristic concept; it is already here, and it is being implemented in a range of industries. Finance, national security, health care, criminal justice, transportation, and smart cities are all examples of this. There are countless examples of AI having a substantial impact on the world and complementing human abilities. However, due to the immense societal ramifications of these technologies, AI is on the verge of disrupting a host of industries, so the technique by which AI systems are created must be better understood. The goal of the study was to look at what it meant to be human-centred, how to create human-centred AI, and what considerations should be made for human-centred AI to achieve sustainability and the SDGs. Using a systematic literature review technique, the study discovered that a human-centred AI strategy strives to create and implement AI systems in ways that benefit mankind and serve their interests. The study also found that a human-in-the-loop concept should be used to develop procedures for creating human-centred AI, as well as other initiatives, such as the promotion of AI accountability, encouraging businesses to use autonomy wisely, to motivate businesses to be aware of human and algorithmic biases, to ensure that businesses prioritize customers, and form multicultural teams to tackle AI research. The study concluded with policy recommendations for human-centred AI to help accomplish the SDGs, including expanding government AI investments, addressing data and algorithm biases, and resolving data access issues, among other things.
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Ensuring that AI is human centered requires government interventions, and ethical standard and regular auditing are key to maintain compliance with regulatory frameworks governing the use and adoption of AI.
“Ensuring that AI is human centered requires government interventions (Mhlanga 2022), and ethical standard and regular auditing are key to maintain compliance with regulatory frameworks governing the use and adoption of AI (Truby 2020).”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Mhlanga 2022
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Cited by
Sorted by citations
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- Authors
- Mhlanga, D.
- Affiliations
- University of Johannesburg (ZA)
- Corresponding author
- Mhlanga, David
- ORCID
- Mhlanga, David
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2022-06-27
- Volume
- 14
- Issue
- 13
- Pages
- 7804
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4283644014
- Cited by
- 130
- References
- 57
- Citations by year
- 2026: 23 · 2025: 42 · 2024: 38 · 2023: 25 · 2022: 2
- FWCI
- 30.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Sociology and Political Science › Innovation, Sustainability, Human-Machine Systems
- Keywords
- Sustainable Development Goals, Fourth Industrial Revolution, human-in-the-loop, AI accountability, algorithmic bias, human bias, corporate autonomy, multicultural teams, AI policy, data access, societal impact of AI
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