AI Research Ethics: Discommendation for European Institutional Responsibilities under Marie Skłodowska-Curie Actions
submitted date:20260131,
by DANIEL SAATCHI, Editor at AIJAM
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To Whom the Open Letter May Concern,
This letter is intended for opensource community, journal reviewers, researchers, evaluators, and policy stakeholders working in computational science, computer science, and artificial intelligence. Based on direct experience for European culture and compromised Digital Service Act (DSA) for suppression of the freedom of speech, promising international young growing CS/AI researchers are apprised of ethical risks to collaborate with Spanish National Research Council (CSIC) Hosts for Marie Skłodowska-Curie Actions (MSCA) fundings for ALLIES programme, unless substantial reforms for transparency are made that are far remote to achieve in years after observation between 2024-2025.
Observed institutional ethical risks and red-flags:
1. Low Compensation, mobility gaslighting, financial information asymmetry for lifestyle quality affecting living costs, and multiple taxations on the research fund: Salaries are disproportionately low relative to the expertise expected from AI researchers, while taxation is multilayered and excessive. This creates a severe mismatch between labor burden and professional sustainability—especially when comparable AI industry roles offer significantly better conditions. Prevalence of gaslighting regarding mobility supports and relocation costs.
2. Scientific Computing and AI infrastructure: Hosts significantly overstate their AI and computational capabilities. In practice, infrastructure is often inadequate, underfunded, or unavailable; they even barely have desks and allocated spaces. Misrepresentation of resources is unacceptable and directly harms trustable research outcomes.
3. Academic culture and governance: Academic bullying, neglect, and lack of professional discipline by principal investigators remain serious and unresolved issues. Junior and international researchers are often pressured to overproduce publications under poor conditions, with little regard for mental health, mentorship, ethics, or scientific depth.
4. Misaligned research values that must be reminded again and again with:
- Scientific quality must prevail over quantity.
- A single strong paper that pushes science forward is worth more than many incremental publications.
- Human rights must come first before AI research ethics and AI race.
- Bullying and institutional silence toward misconduct metastasize if not confronted.
6. Evaluation integrity: Despite the aforementioned systemic academic nonsense, I observed a score of 81/100 on the Evaluation Summary Report (ESR) by MSCA/CSIC for the accepted AI proposal, following rounds of interviews. After my departure, I issued a reverse-ESR, scoring back the host institution 0/100 as an MSCA host. This discrepancy speaks for itself. When you behave unprofessionally with academic retaliation to a young professional expert wasting his/her valuable time, causing permanent academic career damage, time loss, and financial loss; expect a professional catastrophic response for failed promises. Spain is a high risk redlist country for MSCA AI researchers and prospective MSCA fellows. MSCA/CSIC should not have rigorous double standards for top and excellent candidates long selection process while providing low standards for them.
Spain has rich cultural strengths for lifestyle outside of the current poor working environment. However, exaggeration of academic and technological capacity—without corresponding working structure, ethics, or investment— does lasting damage to the reputation of the European AI research ecosystem, which, by professional and ethical standards, constitutes lies and fraud covered up with promises.
Thus, this ethical discommendation is written for irresponsibility of European host institutions regarding MSCA funded AI projects, and CS/AI researchers shall be advised to consider environments where integrity, infrastructure, and human dignity are treated as non-negotiable.
Biography of Author
DANIEL SAATCHI, PhD
Drop-out fellow in Marie Skłodowska-Curie Actions Programme for Artificial Intelligence
Computational Scientist | AI Systems Architect & Concept Technology Designer
Google Scholar: https://scholar.google.com/citations?user=Uv7KQxEAAAAJ&hl=en
Citation