Related Experiment Video
Updated: May 1, 2026
06:11
High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
Published on: September 26, 2025
1.2K
A reflexive artificial intelligence governance for transformative change in sustainability.
Anna Hausmann1,2,3, Tuuli Toivonen4,5, Gonzalo Cortés-Capano6,7
1Department of Biological and Environmental Science, School of Resource Wisdom, University of Jyväskylä, Survontie 9c, 40500, Jyväskylä, Finland. anna.hausmann87@gmail.com.
Ambio
|April 29, 2026
Summary
This study introduces reflexive artificial intelligence (AI) governance to address sustainability challenges. It moves beyond technical fixes, promoting democratic values and inclusive decision-making for transformative change.
Area of Science:
- Environmental Science
- Computer Science
- Political Science
Background:
- Artificial intelligence (AI) is increasingly used in sustainability governance.
- Current AI applications focus on optimization and prediction, oversimplifying complex social-ecological issues.
- This technical focus overlooks crucial aspects like plural values, lived experiences, and democratic input.
Purpose of the Study:
- To advance a reflexive AI governance approach.
- To treat AI as a socio-technical system influencing problem framing, knowledge, and authority.
- To align AI with plural, justice-oriented transformation pathways in sustainability.
Main Methods:
- Synthesizing material, technical, epistemic, and ethico-political challenges.
- Drawing on Aristotelian concepts of techne, episteme, and phronesis.
- Outlining three dimensions of reflexivity: design, epistemological, and engagement.
Main Results:
- Demonstrating how reflexivity can align AI with sustainability goals.
- Illustrating the approach using a four-phase governance cycle and a protected area management scenario.
- Showing how AI can foster deliberation, inclusivity, and ecological sufficiency.
Conclusions:
- Reflexive AI governance supports democratic capacities for AI use in sustainability.
- It enables informed decisions on AI implementation, including non-use, restriction, or withdrawal.
- This approach grounds AI in sustainability visions for transformative change.
Related Concept Videos
01:43Sustainable Development
12.9K
As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
12.9K
01:28Global Regulatory Systems
959
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
959
01:25Self-Regulation
359
Self-regulation, also known as self-control, encompasses a range of cognitive and behavioral processes that allow individuals to adjust their internal states and outward actions to align with socially acceptable norms and long-term goals. It plays a fundamental role in adaptive functioning, from resisting impulsive behaviors to persisting through challenging tasks. While its benefits are widely recognized, self-regulation is not limitless. Muraven and Baumeister's theory posits that...
359
01:21Self-Awareness and Its Effects
416
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
416
02:57The Sense of Self: Reflected Self-Appraisal and Social Comparison
41.7K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
41.7K
01:28Automatic Processing and Automatic Social Behavior
376
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
376