This document discusses the use of artificial intelligence in healthcare, ethical and legal issues of using artificial intelligence in healthcare, and solutions to some of the dilemmas of using AI in healthcare.Amer, Suhair
Artificial intelligence(AI)has impacted many areas of healthcare.AI in healthcare uses machine learning,deep learning,and natural language processing to an... RK Verma,G Dhillon,H Grewal,... - 《World Journal of Clinical Cases》 被引量: 0发表: 2023年 Ethical Issues in the Use and implement...
Many people, understandably, have concerns about the use of AI and how it has crept into every aspect of daily life. From worries about machines pushing the limits of true ‘consciousness’ and autonomy, to issues of data protection, to the potential of amedical negligence claimif the machiner...
High-profile events such as these have sparked “a newfound interest in responsible and ethical use of AI,” according to Heidari. In fact, as innovative use cases for AI multiply, on average, only one in two people believe the benefits of AI outweigh the risks, and three out of five pe...
Kaspersky calls for ethical use of Artificial Intelligence (AI) in cybersecurity based on six principles
•Ethical Considerations: Balancing Innovation and Individual Rights •Data Privacy and Protection: Safeguarding Sensitive Information •Algorithmic Transparency: Understanding the Inner Workings of AI •Privacy by Design: Embedding Privacy in AI Systems ...
AI can improve the efficiency of the peer review process by helping reviewers in tasks like preliminary manuscript screening,content summarization, and suggesting relevant references. While these tools offer significant benefits, it’s important to adhere to the ethical guidelines governing their use. ...
31、【答案】 [B] He is popular with users of an Al art generator 32、【答案】 [C] make unauthorized use of online images 33、【答案】 [C] AI-generated work bearing his name 34、【答案】 [C] strengthen their relationship with AI users ...
cover not only the operational aspects of AI but also its potential risks, ethical considerations, and regulatory implications. Relevant staff should be equipped with the knowledge to identify and address issues such as data integrity, algorithmic bias, and unintended consequences of AI decision-making...
The discussion also touched on the responsibilities and challenges AI faces as large models evolve. Issues like the authenticity and professionalism of content, errors in generated content due to AI hallucinations, and the ethical impacts of AI on society were raised. ...