GeezerVison

I am an information engineer and researcher working at the intersection of AI governance, open source, and software engineering standards. I am currently a PhD candidate at the School of Computer Science and Statistics, Trinity College Dublin, funded by the Research Ireland Centre for Research Training in Digitally-Enhanced Reality (d-real).

My research asks how software engineering practices and technical standards can bridge the technical and legal layers to make AI systems accountable. A large part of my PhD work is about a vocabulary for system trustworthiness and accountability — mapping the accountability requirements of automated decision-making systems onto the technical capabilities of MLOps.

I am an active contributor to open standards and open-source software. I co-wrote the Linux Foundation whitepaper on the AI Bill of Materials (AI BOM) and contribute to the AI and Dataset profiles of the System Package Data Exchange (SPDX) specification, the Data Privacy Vocabularies and Controls Community Group (DPVCG), and the PyThaiNLP natural language processing library. In 2025 I was a Google Summer of Code contributor adding SPDX 3.0 support to the NTIA conformance checker.

My training spans information technology, cognitive science and natural language, and anthropology — which gives me a cultural lens for translating complex technical systems into policy-ready, auditable practice. I also volunteer for the Thai Netizen Network, a digital civil-rights group based in Bangkok.

1. ICSE SEIP

   Building an Open AIBOM Standard in the Wild

   Gopi Krishnan Rajbahadur, Keheliya Gallaba, Elyas Rashno, and 4 more authors

   In Proceedings of the IEEE/ACM 48th International Conference on Software Engineering: Software Engineering in Practice, Apr 2026

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   An experience report on developing the AI Bill of Materials (AIBOM) specification, an extension of the ISO/IEC 5962:2021 SPDX SBOM standard that captures AI components such as datasets and iterative training artifacts. Framed through Action Research, it documents a global, multi-stakeholder effort of over 90 contributors, validated against major regulations and ethical standards (EU AI Act, IEEE 7000), industry use cases, practitioner interviews, and an industrial case study.

   @inproceedings{rajbahadur2026aibom,
     title = {Building an Open {AIBOM} Standard in the Wild},
     author = {Rajbahadur, Gopi Krishnan and Gallaba, Keheliya and Rashno, Elyas and Suriyawongkul, Arthit and Bennet, Karen and Stewart, Kate and Hassan, Ahmed E.},
     booktitle = {Proceedings of the IEEE/ACM 48th International Conference on Software Engineering: Software Engineering in Practice},
     series = {ICSE-SEIP '26},
     year = {2026},
     month = apr,
     address = {Rio de Janeiro, Brazil},
   }

2. LF

   Implementing AI Bill of Materials (AI BOM) with SPDX 3.0: A Comprehensive Guide to Creating AI and Dataset Bill of Materials

   Karen Bennet, Gopi Krishnan Rajbahadur, Arthit Suriyawongkul, and 1 more author

   Oct 2024

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   A comprehensive guide to creating AI and Dataset Bills of Materials using SPDX 3.0.

   @misc{bennet2024aibom,
     title = {Implementing {AI} Bill of Materials ({AI} {BOM}) with {SPDX} 3.0: A Comprehensive Guide to Creating AI and Dataset Bill of Materials},
     author = {Bennet, Karen and Rajbahadur, Gopi Krishnan and Suriyawongkul, Arthit and Stewart, Kate},
     year = {2024},
     month = oct,
     publisher = {The Linux Foundation},
   }

3. arXiv

   A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

   Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici, and 13 more authors

   Jul 2024

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   A collaborative, human-centred taxonomy of AI, algorithmic and automation harms, designed to be clear to a broad set of audiences and to be flexible, extensible, and interoperable. Refined iteratively with topic experts and crowdsourced annotation testing as a tool for civil society, educators, policymakers, product teams, and the public.

   @misc{abercrombie2024taxonomy,
     title = {A Collaborative, Human-Centred Taxonomy of {AI}, Algorithmic, and Automation Harms},
     author = {Abercrombie, Gavin and Benbouzid, Djalel and Giudici, Paolo and Golpayegani, Delaram and Hernandez, Julio and Noro, Pierre and Pandit, Harshvardhan and Paraschou, Eva and Pownall, Charlie and Prajapati, Jyoti and Sayre, Mark A. and Sengupta, Ushnish and Suriyawongkul, Arthit and Thelot, Ruby and Vei, Sofia and Waltersdorfer, Laura},
     year = {2024},
     month = jul,
     publisher = {arXiv},
     doi = {10.48550/arXiv.2407.01294},
   }

4. NLP-OSS

   PyThaiNLP: Thai Natural Language Processing in Python

   Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas, and 6 more authors

   In Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023), Dec 2023

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   PyThaiNLP is a free and open-source natural language processing library for the Thai language implemented in Python, providing software, models, and datasets for Thai. The paper outlines its functionalities, datasets and pre-trained language models, development milestones, and how industrial and research communities use it.

   @inproceedings{phatthiyaphaibun2023pythainlp,
     title = {{PyThaiNLP}: Thai Natural Language Processing in Python},
     author = {Phatthiyaphaibun, Wannaphong and Chaovavanich, Korakot and Polpanumas, Charin and Suriyawongkul, Arthit and Lowphansirikul, Lalita and Chormai, Pattarawat and Limkonchotiwat, Peerat and Suntorntip, Thanathip and Udomcharoenchaikit, Can},
     booktitle = {Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)},
     publisher = {Association for Computational Linguistics},
     address = {Singapore},
     year = {2023},
     month = dec,
     pages = {25--36},
     doi = {10.18653/v1/2023.nlposs-1.4},
   }

5. UNU

   Gender-sensitive AI Policy in Southeast Asia

   Eleonore Fournier-Tombs, JeongHyun Lee, Arthit Suriyawongkul, and 8 more authors

   Jan 2023

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   A multi-country, multi-stakeholder analysis (March–September 2022) across Thailand, Malaysia, Indonesia and the Philippines on the state of AI policy, perceived risks to women of AI, and possible policy solutions, with recommendations spanning societal-impact task forces, gender and AI guidelines, regional AI safety standardisation, and investment in women in AI.

   @article{fourniertombs2023gender,
     title = {Gender-sensitive {AI} Policy in Southeast Asia},
     author = {Fournier-Tombs, Eleonore and Lee, JeongHyun and Suriyawongkul, Arthit and Raghunath, Preeti and Dailey, Matthew and Chatterjee, Joyee and Doneys, Philippe and Suthorn, Wanchanok and Thongprasert, Sirayuth and Villanueva, Kris and Belda, Febroza},
     publisher = {UNU Macau},
     year = {2023},
     month = jan,
   }

6. NILQ

   Digital Technology and Privacy Attitudes in Times of COVID-19: Formal Legality versus Legal Reality in Ireland

   Edoardo Celeste, Sorcha Montgomery, and Arthit Suriyawongkul

   Northern Ireland Legal Quarterly, Jul 2022

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   A socio-legal interpretation of the SFI-funded PRIVATT empirical study in Ireland, finding shifted privacy attitudes and a greater willingness to share personal data during COVID-19 alongside persistent mistrust of institutions, and arguing that the essence of the rights to privacy and data protection cannot be compressed under EU law.

   @article{celeste2022privacy,
     title = {Digital Technology and Privacy Attitudes in Times of {COVID}-19: Formal Legality versus Legal Reality in Ireland},
     author = {Celeste, Edoardo and Montgomery, Sorcha and Suriyawongkul, Arthit},
     journal = {Northern Ireland Legal Quarterly},
     volume = {73},
     number = {2},
     pages = {283--309},
     year = {2022},
     month = jul,
     doi = {10.53386/nilq.v73i2.959},
   }

7. SSRN

   Thailand – Asia’s Strong New Data Protection Law

   Graham Greenleaf and Arthit Suriyawongkul

   Sep 2019

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   An analysis of Thailand’s Personal Data Protection Act of 2019, the first explicitly GDPR-based law enacted in Asia, examining its principles, enforcement, and the rules and exemptions still to be developed by its data protection authority.

   @techreport{greenleaf2019thailand,
     title = {Thailand -- Asia's Strong New Data Protection Law},
     author = {Greenleaf, Graham and Suriyawongkul, Arthit},
     type = {SSRN Scholarly Paper},
     institution = {Social Science Research Network},
     address = {Rochester, NY},
     year = {2019},
     month = sep,
     doi = {10.2139/ssrn.3502671},
   }