Knowledge Resource · Open access
Research Summary: Proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026)
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 28 October 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
The Proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026) compile interdisciplinary research, emerging tools, and critical perspectives aimed at curtailing greenhouse gas emissions across computational infrastructures. Key thematic contributions focus on emissions accounting, sustainable software engineering, circular hardware lifecycles, and sustainable artificial intelligence.
Why it matters
This matters because computing and artificial intelligence workloads represent an escalating share of global energy consumption and greenhouse gas emissions. Establishing rigorous frameworks for measuring and reducing both operational and embodied carbon is essential for long-term operational resilience and regulatory compliance. Organizations that integrate low-carbon computing paradigms can decouple computational expansion from unsustainable environmental overhead.
Key insights
- LOCO 2026 convenes academic and technical research targeting the reduction of greenhouse gas emissions generated by computing.
- Core areas of examination include carbon measurement, standardized reporting, sustainable software engineering, and energy-efficient systems.
- Hardware-level interventions emphasize the mitigation of embodied carbon, circular computing models, and extending hardware longevity.
- Operational strategies encompass carbon-aware architectures, sufficiency-oriented computing, resource management, and sustainable artificial intelligence.
Source
arXiv — Computers and Society — https://arxiv.org/abs/2608.02072
Related resources
The Fake Friend Dilemma: Relational Trust and the Political Economy of Conversational AI
Knowledge Resource
Clinical Note Bloat Reduction for Efficient LLM Use
Knowledge Resource
Do LLMs Rewrite History? Detecting Historical Revisionism in Large Language Models
Knowledge Resource
Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
Knowledge Resource
She Works, He Works: A Curious Exploration of Gender Bias in AI-Generated Imagery
Knowledge Resource
CogArena: Benchmarking Multimodal Agents on Interactive Behavioral Experiments
Knowledge Resource
Citation
Cite the original work (APA 7)
The original source is authoritative for this citation. Cite the source publication directly — this attribution is pending verification. Open the original source.
Verification
This is an authenticated AZIZ OS resource record.
- Verification ID
- ASA-EXE-2026-01483
- Version
- v1.0 · r0
- Issued
- 28 October 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026)
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
This verification confirms the AZIZ OS resource record and its documented provenance. It does not establish authorship of the underlying external work.