30 citations · 42 across the 4 of their papers we have counts for
4 papers
Ethics Readiness of Artificial Intelligence: A Practical Evaluation Method
Laurynas Adomaitis, Vincent Israel-Jost, Alexei Grinbaum
We present Ethics Readiness Levels (ERLs), a four-level, iterative method to track how ethical reflection is implemented in the design of AI systems. ERLs bridge high-level ethical…
Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning
Rickard Brännvall, Laurynas Adomaitis, Olof Görnerup +1
The right to privacy, enshrined in various human rights declarations, faces new challenges in the age of artificial intelligence (AI). This paper explores the concept of the Right…
Dual Use Concerns of Generative AI and Large Language Models
Alexei Grinbaum, Laurynas Adomaitis
We suggest the implementation of the Dual Use Research of Concern (DURC) framework, originally designed for life sciences, to the domain of generative AI, with a specific focus on…
The Ethical Need for Watermarks in Machine-Generated Language
Alexei Grinbaum, Laurynas Adomaitis
Watermarks should be introduced in the natural language outputs of AI systems in order to maintain the distinction between human and machine-generated text. The ethical imperative…