A. Lack of trained medical professionals. B. High cost of implementation. C. Errors in diagnosis or treatment recommendations. D. Limited access to medical facilities. 相关知识点: 试题来源: 解析 C。解析:文章提到“One concern is the potential for errors in diagnosis or treatment recommendations....
While it might be easier to start looking at an individual machine learning (ML) model and the associated risks in isolation, it’s important to consider the details of the specific application of such a model and the corresponding use case as part of a complete AI system. In fact, a typ...
According to Microsoft, 48% are ranked as vulnerable while 39% are high-risk targets.Hackers are using AI for cyberattacks, and companies need to adapt properly to handle these new threats. Paul Kelly, Director of the Security Business Group at Microsoft UK said the following: The same AI t...
As stated in the source article, a group of researchers from the UK and Canada investigated the problem of using AI-generated content for training instead of human-generated content. They found that the large language models behind the technology might potentially be trained on other AI-generated...
having AI sort through piles of applications or resumes may be more efficient and save on labor costs. But employers must be wary and smart about using AI to facilitate employment-related processes, as significant risks attend its use. In just one recent example, on August 9, 2023, the EEOC...
The difference of standardized mean difference (SMD) of UVAI between study arms, defined as effect size (ES), was calculated for each study and then pooled across studies using standard meta-analysis with a random effects model. Results Lower likelihood of UVAI was observed in the intervention...
Tech companies are already expressing concern about the EU regulations.Google was diplomatic, saying the company “is concerned that the opportunity cost of not using AI is not sufficiently reflected in policy debates.” It’s understandable that legislators are cautious. But excessive caution c...
After accounting for covariates, we found that sexual control was a risk factor for URAI partners and occasions, and coping was found to be a protective factor for URAI occasions. In light of our findings, we discuss the importance of reexamining the theoretical assumptions of hypersexual ...
To some it’s generative AI, to others it’s Machine Learning. Perhaps the most useful description for the AI solutions is simply: “the practical application of clever maths.” In other words, we need to remind ourselves that these tools are not magic. They’re simply the interaction of ...
Docters can use AI to show your risk of lung cancer (肺癌) with a single CT scan (扫描检查).“By catching lung cancer early, we can increase overall survival,” said Dr. Florian Fintelmann, a radiologist at Massachusetts General Hospital and associate professor of radiology at Harvard Medica...