1 Algorithms are here to stay. They are transforming the way we live and work and increasingly replace cognitively human ways of making decisions. The so called "algorithmocracy" or the ecosystem that we all now inhabit, where algorithms govern many aspects of our behavior, has the potential to bias and be deployed at large scales. Because the automation of decisions by algorithms promise efficiency and resource maximization, AI technologies can be used to meet the 17 Sustainable Development Goals and its 169 targets. However, we must ensure that its application is humane and ethical and within a normative framework guided by basic ethical principles. Here, we try to clarify what people really mean by "ethics" in AI ethics and elucidate a roadmap to implement "ethics by design" standards to establish satisfactory measures of fairness, transparency and explainability of algorithms when use for social good as for example the promotion of Sustainable Development Goals.
Three interdependent factors are behind the current Covid-19 pandemic distorted narrative: (1) science´s culture of “publish or perish”, (2) misinformation spread by traditional media and social digital media and (3) distrust of technology for tracing contacts and its privacy-related issues. In this short paper, I wish to tackle how these three factors have added up to give rise to a negative public understanding of science in times of a health crisis, such as the current Covid-19 pandemic and finally, how to confront all these problems.
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