# Session 2 — sources

| ID | Title | Authors | Year | Venue | Access | File |
|---|---|---|---|---|---|---|
| P1 | Energy and Policy Considerations for Deep Learning in NLP | Strubell, Ganesh, McCallum | 2019 | ACL (arXiv:1906.02243) | Open access (arXiv) | P1_Strubell2019_Energy_Policy_DeepLearning_NLP.pdf |
| P2 | AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis | Jahin, Naife, Saha, Mridha | 2024 | arXiv:2401.10895 | Open access (arXiv) | P2_Jahin2024_AI_SupplyChain_RiskAssessment.pdf |
| P3 | Systematic Literature Review of Digital Transformation | Egodawele et al. | 2022 | Australasian Conference on Information Systems | Open access (conference PDF) | P3_Systematic_Review_DigitalTransformation.pdf |
| P4 | "Techno-solutionism a Fact or Farce?" A Critical Assessment of GenAI in Open and Distance Education | Olojede | 2024 | Journal of Ethics in Higher Education | Open access | P4_Olojede2024_Technosolutionism_GenAI_ODE.pdf |

All four verified with `pdftotext` (title/author match, size > 100 KB, no HTML error pages).
Used to ground: P3 → Q1 (digital transformation as survival claim); P1 + P2 → Q2 (AI's cost vs. AI's benefit);
P4 → Q2 (techno-solutionism as a named, studied bias, not just a rhetorical label).