A Study Of Ethical Challenges Of AI Design And Its Solutions

Currently,AI ethics is hampered in many cases.In the field of artificial intelligence,"ethical embedding" lacks a strengthening mechanism,and deviations from various ethical codes will not have serious consequences for stakeholders.In theory,artificial intelligence technology is closely related to the research,development and application of artificial intelligence systems in the areas of privacy protection,anti-discrimination,security,good faith,and interpretability,but it is not or rarely mentioned in the ethical guidelines.In practice,AI ethics is usually considered to be irrelevant,redundant,or an "additional" to some technical issue,especially in the field of AI design,where the lack of responsibility for R&D subjects is particularly prominent,and economic incentives can easily overwhelm the right to A commitment to ethical principles and values.These current states of AI ethics may lead to malicious use of AI,machine awareness,AI ranking and filtering systems on social networking sites to reduce social cohesion,political abuse of AI systems,diversity in AI communities,algorithms versus human decision-making There are many problems and dilemmas such as the weight between programs.Based on this,this paper elaborates and analyzes the development of AI-related ethical guidelines,and considers whether it is possible to reduce artificial The gap between the "what" and the "how" of intelligence ethics,for which it is possible to learn from existing methods and tools so that they not only know what to do or not to do,but also know what to do by adopting What to do or how to avoid doing it from an ethical perspective.While many tools and approaches were found to assist AI practitioners in their transition from ethics to technology,it was also found that the vast majority of these tools were severely limited in terms of usability.At present,this kind of closed method has little effect for the time being,and it is difficult for the academic circle to produce substantial progress in related research on this content.Based on the above background,relevant methodological research should focus on the following points in future work: First,the design work of artificial intelligence is under the condition of technical guidance,and its ethical norms are difficult to embed in the process of algorithm design,so there is no There is no doubt that the entire design that supports ethical norms requires effective path selection.Second,although the ethics education related to artificial intelligence has achieved initial results,it is also urgent to explore scientific methods and means to play a decisive role in the field of artificial intelligence.The third,and also the focus of this paper,is to explore the reasons why ethical principles and technical translation tools,even if they have certain limitations,still need them to function in artificial intelligence design,and to consider the The theoretical underpinnings of a concept known as "ethics as a service," potentially specific ways to overcome these limitations.