The swift advancement of artificial intelligence (AI) tools raises profound ethical concerns that warrant careful consideration. Machine learning (ML) frameworks have played a pivotal role in AI progress over the past two decades, and the community of data scientists now has increased expectations. The \(AI^{2}\) platform allows the experimental exploration of innovative concepts and ideas about ML frameworks, driven by the aspiration to uphold ethical ideals. This work presents an evaluation of the ethical impact of \(AI^{2}\) , a ML framework based on natural language processing (NLP) accessibility, explainability, and greenhouse gas (GHG) awareness. By referring to a well-known ethical framework (the “Montreal Declaration for a Responsible Development of Artificial Intelligence”), this paper discusses the advantages of this recent technology and potential hazards such as NLP misinterpretation, misuse of algorithms and data, AI misalignment, and human obsolescence. This work aims to give some ethical advice to users of ML frameworks and to inspire the development of a new generation of these frameworks.
