A review of the use of AI in the mining industry
Insights and ethical considerations for multi-objective optimization
Bibliographic Data
| ID | 16929487 |
|---|---|
| Authors | Caitlin C Corrigan (0000-0001-5883-8090, Technical University of Munich, corresponding author), Svetlana A Ikonnikova, Svetlana Ikonnikova (0000-0002-9012-9179, Bureau of Economic Analysis) |
| Year | 2024 |
| Volume | 17 |
| Pages | 101440 |
| Publication date | 2024-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Extractive Industries and Society (JOURNAL) |
| Journal identifiers | ISSN: 2214-790X • E-ISSN: 2214-7918 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.exis.2024.101440 |
| OpenAlex | W4392796558 |
| Language | EN |
| Citations received | 4 |
| References cited | 74 |
In the effort to rapidly transform the way we use energy, valuable minerals are coming increasingly into high demand. Various metals, such as copper and cobalt, are required to advance new technologies and accelerate the lowering of carbon emissions. However, their extraction often comes with high societal and environmental costs. Therefore, developing ways to extract valuable minerals in a way that benefits global as well as an individual country's sustainability goals and mitigates direct and indirect negative impacts of extraction, is a worthwhile endeavor. Artificial intelligence (AI) enabled applications provide one avenue by which to potentially speed up this process. The question remains, how do we ensure AI is used in an ethical way that benefits communities, societal development, and environmental sustainability in the mining industry? In this article we give an overview of current and potential uses of AI in the mining sector and present some ethical considerations for the use of AI in the industry. We then outline a way forward to a more ethical and sustainable approach to using AI in the mining sector through multi-objective optimization
Business · Engineering ethics · Management science · Engineering · Mineral Processing and Grinding · Mining Techniques and Economics · Reservoir Engineering and Simulation Methods
National baselines for the Sustainable Development Goals assessed in the SDG Index and Dashboards
Artificial intelligence
No free lunch theorems for optimization
The social and environmental complexities of extracting energy transition metals
The Ethics of AI Ethics
Human-in-the-loop machine learning
The role of artificial intelligence in achieving the Sustainable Development Goals
Addressing the Natural Resource Curse
Sustainable AI
The global landscape of AI ethics guidelines
The curse of natural resources
AI4People—An Ethical Framework for a Good AI Society
Transparency in artificial intelligence
The Citizen Question
Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance
Intertemporal equilibria and exhaustible resources
Why do some natural resource-rich countries adopt prudent fiscal rules? An empirical analysis
Environmental, Social and Governance (ESG) risk, uncertainty, and the mining life cycle
The impact of environmental information disclosure on green innovation in extractive enterprises
Artificial intelligence for environmental security
Toward transformative climate justice
The globalization of artificial intelligence
Escaping the Resource Curse
Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs
Beyond Utilitarianism and Deontology
At Africa’s expense? Disaggregating the employment effects of Chinese mining operations in sub-Saharan Africa
AI-powered public surveillance systems
Designing Public Participation Processes
| Citations per year | 4 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |