Can Atik
Biographic Data
| ID | 9292965 |
|---|---|
| NAME | Can Atik |
| GIVEN NAMES | Can |
| FAMILY NAME | Atik |
| SIGNATURE | ATIK C |
| AFFILIATIONS | Wageningen University & Research |
| ORCID | 0000-0001-6517-7235 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
AI through the looking glass
This paper examines how professionals (N = 32) working on artificial intelligence (AI) view structural AI ethics challenges like injustices and inequalities beyond individual agents' direct intention and control. This paper answers the research question: What are professionals’ perceptions of the structural challenges of AI (in the agri-food sector)? This empirical paper shows that it is essential to broaden the scope of ethics of AI beyond micro…
The future of agricultural data-sharing policy in Europe
In 2018, the EU Code of Conduct of Agricultural Data Sharing by Contractual Agreement (EUCC) was published. This voluntary initiative is considered a basis for rights and responsibilities for data sharing in the agri-food sector, with a specific farmer orientation. While the involved industry associations agreed on its content, there are limited insights into how and to what extent the EUCC has been received and implemented within the sector. In …
No prominent works on this page.
The future of agricultural data-sharing policy in Europe
In 2018, the EU Code of Conduct of Agricultural Data Sharing by Contractual Agreement (EUCC) was published. This voluntary initiative is considered a basis for rights and responsibilities for data sharing in the agri-food sector, with a specific farmer orientation. While the involved industry associations agreed on its content, there are limited insights into how and to what extent the EUCC has been received and implemented within the sector. In …
AI through the looking glass
This paper examines how professionals (N = 32) working on artificial intelligence (AI) view structural AI ethics challenges like injustices and inequalities beyond individual agents' direct intention and control. This paper answers the research question: What are professionals’ perceptions of the structural challenges of AI (in the agri-food sector)? This empirical paper shows that it is essential to broaden the scope of ethics of AI beyond micro…
Computer Science (2 works) · Economics (2 works) · Political science (2 works) · Public relations (2 works) · Agriculture (1 work) · Business (1 work) · Code of conduct (1 work) · Corporate governance (1 work) · Corporate social responsibility (1 work) · Engineering (1 work)