# Noemi Dreksler

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/noemi-dreksler/

## Facts

| Field | Value |
| --- | --- |
| Citations | 222 |
| Field | Ethics and Social Impacts of AI |
| h-index | 6 |
| i10-index | 6 |
| Last Known Institution | Institute on Governance |
| OpenAlex ID | https://openalex.org/A5050563911 |
| ORCID iD | 0000-0003-1622-583X |
| Works | 17 |

## Researcher papers

- [Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers](https://scholariq.org/papers/ethics-and-governance-of-artificial-intelligence-evidence-from-a-survey-of-2/)
- [A Critical Analysis of Colour–Shape Correspondences: Examining the Replicability of Colour–Shape Associations](https://scholariq.org/papers/a-critical-analysis-of-colour-shape-correspondences-examining-the-replicability/)
- [Open-Sourcing Highly Capable Foundation Models: An Evaluation of Risks, Benefits, and Alternative Methods for Pursuing Open-Source Objectives](https://scholariq.org/papers/open-sourcing-highly-capable-foundation-models-an-evaluation-of-risks-benefits/)
- [Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers](https://scholariq.org/papers/forecasting-ai-progress-evidence-from-a-survey-of-machine-learning-researchers/)
- [Towards best practices in AGI safety and governance: A survey of expert opinion](https://scholariq.org/papers/towards-best-practices-in-agi-safety-and-governance-a-survey-of-expert-opinion/)
- [Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers](https://scholariq.org/papers/ethics-and-governance-of-artificial-intelligence-evidence-from-a-survey-of/)
- [Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences](https://scholariq.org/papers/skilled-and-mobile-survey-evidence-of-ai-researchers-immigration-preferences/)
- [Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract)](https://scholariq.org/papers/ethics-and-governance-of-artificial-intelligence-a-survey-of-machine-learning/)
- [Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives](https://scholariq.org/papers/open-sourcing-highly-capable-foundation-models-an-evaluation-of-risks-benefits-2/)
- [Effective Mitigations for Systemic Risks from General-Purpose AI](https://scholariq.org/papers/effective-mitigations-for-systemic-risks-from-general-purpose-ai/)
- [Local US officials’ views on the impacts and governance of AI: Evidence from 2022 and 2023 survey waves](https://scholariq.org/papers/local-us-officials-views-on-the-impacts-and-governance-of-ai-evidence-from-2022/)

## Researcher topics

- [Ethics and Social Impacts of AI](https://scholariq.org/topics/ethics-and-social-impacts-of-ai/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Risk and Safety Analysis](https://scholariq.org/topics/risk-and-safety-analysis/)

## Researcher university

- [Institute on Governance](https://scholariq.org/institutions/institute-on-governance/)

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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.