AI can be a valuable tool for conservation, but its misuse could have severe consequences for people and wildlife.

Responsible AI for conservation

Artificial intelligence and automated monitoring can improve marine ecosystem conservation by reducing monitoring bottlenecks and costs, enabling timely and effective management decisions.

Artificial intelligence and automated monitoring for assisting conservation of marine ecosystems: A perspective

Artificial Intelligence can help protect endangered species, monitor animal behavior, and track illegal wildlife trade, contributing to Sustainable Development Goals 14 and 15.

A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation

AI is revolutionizing environmental conservation by transforming data collection, decision-making, and rule enforcement, but may introduce ethical dilemmas and power redistribution among stakeholders.

Algorithmic conservation in a changing climate

AI can support environmental sustainability by reducing resource and energy intensity, but future research should address challenges like overreliance on historical data, uncertain human behavior, cybersecurity risks, and adverse impacts.

Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda

Deep learning shows promise for environmental conservation, but technical and implementation challenges must be addressed to make it more accessible to scientists and practitioners.

Deep learning for environmental conservation

AI and machine learning have significantly advanced environmental sciences, particularly in weather forecasting, climate estimation, optimization, and image processing.

The History and Practice of AI in the Environmental Sciences

AI technology has potential for biodiversity conservation and forest management in India, but its adoption has been slow compared to developed and other developing countries.

Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India

Artificial intelligence can enhance environmental sustainability by promoting transparent, responsible, and human-centered systems for monitoring and conservation.

ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL MONITORING AND CONSERVATION

AI adoption can enhance environmental sustainability by promoting transparency, responsible, and human-centered AI systems, potentially reducing climate change, agriculture, ocean health, water resources, weather forecasting, and disaster resiliency.

ENVIRONMENTAL SUSTAINABILITY WITH ARTIFICIAL INTELLIGENCE

AI-based solutions can enhance conservation efforts by monitoring and evaluating work, and the Impact Technology Canvas can help foster scalable and transferable solutions.

Applying AI to conservation challenges

AI-driven solutions can efficiently monitor and preserve our ecosystems, contributing to a greener, more resilient future.

AI-driven Solutions for Sustainable Environment Monitoring

AI can be an enabler for environmental sustainability in various sectors, promoting the Sustainable Development Goals (SDGs).

Environmental Sustainability: Can Artificial Intelligence be an Enabler for SDGs?

Artificial intelligence can improve environmental quality by processing large amounts of data and analyzing relationships, ultimately enhancing water conservation capacity.

Artificial Intelligence and Water Cycle Management

AI can advance humanity and the environment, but it cannot replace human effort and commitment to environmental sustainability.

AI in the Wild: Sustainability in the Age of Artificial Intelligence by Peter Dauvergne

AI enhances clean energy efficiency, optimization, and management in Europe, driving innovation and smart grid development.

Assessing the Potential of Artificial Intelligence in Advancing Clean Energy Technologies in Europe: A Systematic Review

Priority in AI technology invention has shifted from biological- and knowledge-based models to specific mathematical models and other technologies, with differences in publication characteristics among companies and countries.

Trends and priority shifts in artificial intelligence technology invention: A global patent analysis

AI can advance technocratic, incremental forms of environmentalism while hindering confrontational tactics and grassroots resistance, while also promoting wasteful consumption and electronic waste.

The globalization of artificial intelligence: consequences for the politics of environmentalism

AI's impact on business, government, and society could accelerate or hinder sustainable development, with implications for management education and business leadership.

Artificial intelligence and sustainable development

Artificial intelligence in the agri-food industry can lead to sustainable and responsible business models, with stakeholders playing a proactive or marginal role in value creation.

Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario

The role of artificial intelligence in advancing environmental science and conservation efforts.

These studies suggest that artificial intelligence can significantly advance environmental science and conservation by improving monitoring, decision-making, and sustainability, though it may also introduce ethical, technical, and implementation challenges.