# Innovation, Sustainability, Human-Machine Systems

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/innovation-sustainability-human-machine-systems/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers explores the interconnectedness and interdependence of various scientific, societal, and environmental factors, including human population growth, climate change, biodiversity protection, organizational performance, corporate social responsibility, ethical sustainability, and the role of artificial intelligence in shaping human-machine teams. The papers highlight the need for sustainable and responsible approaches to address the complex challenges facing our planet and emphasize the importance of interdisciplinary collaboration and ethical decision-making. |
| Domain | Social Sciences |
| Field | Social Sciences |
| OpenAlex ID | t14350 |
| Works | 24 |

## Topic papers all

Showing 15 of 24.

- [Sustainability‐oriented Innovation: A Systematic Review](https://scholariq.org/papers/sustainability-oriented-innovation-a-systematic-review/)
- [Artificial intelligence and innovation management: A review, framework, and research agenda✰](https://scholariq.org/papers/artificial-intelligence-and-innovation-management-a-review-framework-and/)
- [Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII)](https://scholariq.org/papers/rise-of-machine-agency-a-framework-for-studying-the-psychology-of-human-ai/)
- [Art and the science of generative AI](https://scholariq.org/papers/art-and-the-science-of-generative-ai/)
- [Identifying and Cultivating Superforecasters as a Method of Improving Probabilistic Predictions](https://scholariq.org/papers/identifying-and-cultivating-superforecasters-as-a-method-of-improving/)
- [Human-machine collaboration in managerial decision making](https://scholariq.org/papers/human-machine-collaboration-in-managerial-decision-making/)
- [The psychology of intelligence analysis: Drivers of prediction accuracy in world politics.](https://scholariq.org/papers/the-psychology-of-intelligence-analysis-drivers-of-prediction-accuracy-in-world/)
- [How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability](https://scholariq.org/papers/how-do-people-react-to-ai-failure-automation-bias-algorithmic-aversion-and/)
- [What is There to Fear? Understanding Multi-Dimensional Fear of AI from a Technological Affordance Perspective](https://scholariq.org/papers/what-is-there-to-fear-understanding-multi-dimensional-fear-of-ai-from-a/)
- [Explaining the Principles to Practices Gap in AI](https://scholariq.org/papers/explaining-the-principles-to-practices-gap-in-ai/)
- [U.S. Public Opinion on the Governance of Artificial Intelligence](https://scholariq.org/papers/u-s-public-opinion-on-the-governance-of-artificial-intelligence/)
- [Impacts of Attitudes Toward Government and Corporations on Public Trust in Artificial Intelligence](https://scholariq.org/papers/impacts-of-attitudes-toward-government-and-corporations-on-public-trust-in/)
- [Moral circle expansion: A promising strategy to impact the far future](https://scholariq.org/papers/moral-circle-expansion-a-promising-strategy-to-impact-the-far-future/)
- [Human bias in evaluating AI product creativity](https://scholariq.org/papers/human-bias-in-evaluating-ai-product-creativity/)
- [A matter of perspective: differential evaluations of artificial intelligence between managers and staff in an experimental simulation](https://scholariq.org/papers/a-matter-of-perspective-differential-evaluations-of-artificial-intelligence/)

## Topic primary papers

- [U.S. Public Opinion on the Governance of Artificial Intelligence](https://scholariq.org/papers/u-s-public-opinion-on-the-governance-of-artificial-intelligence/)
- [Moral circle expansion: A promising strategy to impact the far future](https://scholariq.org/papers/moral-circle-expansion-a-promising-strategy-to-impact-the-far-future/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.