A5036727980- Ethics and Social Impacts of AI
- Blockchain Technology Applications and Security
- Green IT and Sustainability
- Digital Transformation in Industry
- Smart Cities and Technologies
- Innovation, Sustainability, Human-Machine Systems
Technical University of Applied Sciences Wildau
2023-2024
Humboldt-Universität zu Berlin
2023
In recent decades, artificial intelligence has undergone transformative advancements, reshaping diverse sectors such as healthcare, transport, agriculture, energy, and the media. Despite enthusiasm surrounding AI’s potential, concerns persist about its potential negative impacts, including substantial energy consumption ethical challenges. This paper critically reviews evolving landscape of AI sustainability, addressing economic, social, environmental dimensions. The literature is...
Most research on fairness in Machine Learning assumes the relationship between and accuracy to be a trade-off, with an increase leading unavoidable loss of accuracy. In this study, several approaches for fair are studied experimentally analyze group fairness. The results indicated that may even benefit each other, which emphasizes importance selecting appropriate measures performance evaluation. This work provides foundation further studies adequate objectives context automated decision making.
Machine learning models are increasingly used in critical decision-making applications. However, these susceptible to replicating or even amplifying bias present real-world data. While there various mitigation methods and base estimators the literature, selecting optimal model for a specific application remains challenging. This paper focuses on binary classification proposes FairGridSearch, novel framework comparing fairness-enhancing models. FairGridSearch enables experimentation with...