Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
The 3X2A Strategy for Societal Adaptation in the GenAI Era: A Framework for Human-AI Synergy
Authors: Valeriu Ungureanu
Keywords: Generative AI, human--AI co-evo\-lution, automation and augmentation, alliance and alignment, adaptation and accountability, meta-skills, AI governance, societal transformation.
– 0.26 Mb
Keywords: Generative AI, human--AI co-evo\-lution, automation and augmentation, alliance and alignment, adaptation and accountability, meta-skills, AI governance, societal transformation.
Abstract
This paper introduces the \emph{3$\times$2A Strategy}, a conceptual framework for societal adaptation to Generative AI (GenAI) and large language models (LLMs). It maps six strategic dimensions---Automation, Augmentation, Alliance, Alignment, Adaptation, and Accountability---critical for fostering human–AI synergy. We apply the framework to education, healthcare, and scientific research, illustrating its role in guiding responsible integration and governance. The 3$\times$2A Strategy contributes to foundational discourse on AI alignment and sociotechnical transformation, offering a structured approach to aligning GenAI advancements with societal needs, institutional structures, and long-term resilience.ORCID: https://orcid.org/0000-0001-5184-0040
Faculty of Mathematics and Computer Science, Moldova State University,
Mateevici str., 60, Chisinau, MD-2009, Republic of Moldova
E-mail:
Faculty of Mathematics and Computer Science, Moldova State University,
Mateevici str., 60, Chisinau, MD-2009, Republic of Moldova
E-mail:
DOI
https://doi.org/10.56415/csjm.v33.14Fulltext
– 0.26 Mb
Contents
- The 3X2A Strategy for Societal Adaptation in the GenAI Era: A Framework for Human-AI Synergy
- Effective diagnosis of brain tumor classification by using novel DCNN
- Improving Anomaly Detection in the HDFS Dataset with Novel Machine Learning Models and Techniques
- Addressing the limitations related to thresholds in scoring-based decision support tools through graphical visualisation
- Enhanced Botnet Detection and Neutralization through Machine Learning: A Synergistic Analysis of Host Activity, Network Patterns with Explainable Insights
- Optimal size of data packets in computer networks
- Visualizing Type-Checking Proofs: An Educational Web-Based System for an Extended Simply Typed Lambda Calculus
