AI, Ethical Issues, and Explainability for Biometrics—Summary and What Else?doi:10.1007/978-981-19-3935-8_5Santosh, KCUniversity of South DakotaWall, CaseyUniversity of South DakotaSpringer, Singapore
A. Causing more ethical issues. B. Reducing the accuracy of diagnoses. C. Helping in drug discovery. D. Making healthcare more E. xpensive. 相关知识点: 试题来源: 解析 C。解析:文章中提到“AI can help in drug discovery by analyzing vast amounts of biological data and predicting the effec...
I believe that the main misconception surrounding AI is that it can understand context as deeply as humans do or somewhat feel emotions. While AI's capabilities are undoubtedly impressive, it's important to recognize its limitations. AI systems no matter how advanced can misinterpret cues, and...
According to the passage, what are the main issues that threaten the local culture and values of non-Western societies?A.Materialistic and individualistic values.B.Market economics and communication technologies.C.Corruption and underdevelopment of primi
1. Rule-Based Systems (Pre-AI) The earliest stage involves systems that operate based on strict, predefined rules set by human programmers. These systems follow "if-then" logic and cannot learn or adapt beyond their programming. They are deterministic and limited to specific, repetitive tasks, ...
This paper argues that the terms ‘Sustainable artificial intelligence (AI)’ in general and ‘Sustainability of AI’ in particular are
What Are the Limitations of Sora? Sora's Use Cases Sora's Risks How Can I Access Sora? What Are the Alternatives to Sora? What Does OpenAI Sora Mean for the Future? Closing Notes FAQs Share Day 3 of the “12 Days of OpenAI” came with an exciting announcement: Sora AI is now...
Foundation models are trained on vast amounts of data from diverse sources, raising ethical concerns around data biases, privacy, and potential reinforcement of harmful content or biases present in the training data. Models can sometimes generate false or inaccurate answers, called ‘AI hallucination’...
What are the ethical challenges of AI? Enterprises face the following ethical challenges in their use of AI technologies: Explainability.When AI systems go awry, teams must be able to trace through a complex chain of algorithmic systems and data processes to find out why. Organizations using AI...
Once the data is prepared, the next step is to choose a machine learning model. There are many types of models to choose from, including linear regression, decision trees, and neural networks. The choice of model depends on the nature of your data and the problem you're trying to solve....