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However, implementing this emerging technology carries significant social and ethical risks and implications. Without ethical development of such systems, there is the potential for this technology to undermine people\u2019s autonomy, privacy, and equity, even affecting human rights. Considering the approaches necessary for ethical development and effective governance of AI, such as ethical principles, guidelines, and technical tools, the question arises regarding the limitations of implementing these measures by the highly technical personnel involved in the process. In this context, we propose the creation of a typology that distinguishes the different stages of the AI life-cycle, the high-level ethical principles that should govern their implementation, and the tools with the potential to foster compliance with these principles, encompassing both technical and conceptual resources. In addition, this typology will include relevant information such as developmental level, related tasks, sectors, and language. Our research is based on a systematic review in which we identified 352 resources and tools. We expect this contribution to be valuable in promoting ethical AI development for developers and leaders who manage these initiatives. The complete typology and the comprehensive list of resources are available for consultation at\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/ricardo-ob.github.io\/tools4responsibleai\">https:\/\/ricardo-ob.github.io\/tools4responsibleai<\/jats:ext-link>\n                    .\n                  <\/jats:p>","DOI":"10.1007\/s10462-024-10740-3","type":"journal-article","created":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T19:01:50Z","timestamp":1712257310000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":78,"title":["Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems"],"prefix":"10.1007","volume":"57","author":[{"given":"Ricardo","family":"Ortega-Bola\u00f1os","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua","family":"Bernal-Salcedo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mariana","family":"Germ\u00e1n Ortiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julian","family":"Galeano Sarmiento","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gonzalo A.","family":"Ruz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reinel","family":"Tabares-Soto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,4,5]]},"reference":[{"key":"10740_CR1","unstructured":"Adebayo JA (2016) FairML: ToolBox for diagnosing bias in predictive modeling (Doctoral dissertation). 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