Ethics has powerful teeth, but these are barely being used in the ethics of AI today - it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that 'ethics' in the current AI ethics field is largely ineffective, trapped in an 'ethical principles' approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. This significantly limits what ethics can achieve and is a great loss to the AI field and its impacts on individuals and society. This article discusses these risks and then highlights the teeth of ethics and the essential value they can - and should - bring to AI ethics now.
Current advances in research, development and application of artificial intelligence (AI) systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the "disruptive" potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions.
Talk of "workplace diversity" is nothing new across many industries. But when it comes to healthcare and emergency medicine, creating a workforce that reflects the communities being served can help reduce some very real barriers. Unfortunately, in EMS, we often struggle to talk about diversity, afraid that we may offend someone, or feeling unwilling to accept that this is a problem.
On this site you can read about the legal changes that have eroded the public domain and find legal updates, including summaries of the recent cases that brought "Happy Birthday," "We Shall Overcome," and Sherlock Holmes into the public domain.
Advances in artificial intelligence have spurred the development of smart devices to help people overcome physical and cognitive challenges. And, this may just be the beginning.
While Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions are not by themselves sufficient. There is also the need to consider explicitly issues such as fairness, accountability, transparency, bias, autonomy, agency, and inclusion.
There are differences in process and outcome measures by race and ethnicity in the emergency department management of pain among children with long-bone fractures. Although minority children are more likely to receive analgesics and achieve $2-point reduction in pain, they are less likely to receive opioids and achieve optimal pain reduction.
The National Education Association believes the education profession consists of one education workforce serving the needs of all students and provides standards by which to judge conduct.
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https://journals.sagepub.com/doi/full/10.1177/2053951720942541