What Are the Key Terms in AI Ethics?

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In summary, the conversation discusses various terms and definitions related to ethics in the tech industry, such as audits, diversity, equity, and inclusion, and impact assessments. The speakers also touch on the issue of contractors and the concept of "Uberization." The conversation ends with a mention of the importance of replacing outdated moral systems with reason in the development of AI.
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Tom.G
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Here are a few excerpts from an article I stumbled across on
https://www.technologyreview.com/2021/04/13/1022568/big-tech-ai-ethics-guide/

The complete list of definitions runs about 50 items. It is sadly true to some extent, and a bit of a change-of-pace from this site.

audit (n) - A review that you pay someone else to do of your company or AI system so that you appear more transparent without needing to change anything. See impact assessment.

diversity, equity, and inclusion (ph) - The act of hiring engineers and researchers from marginalized groups so you can parade them around to the public. If they challenge the status quo, fire them.

impact assessment (ph) - A review that you do yourself of your company or AI system to show your willingness to consider its downsides without changing anything. See audit.
 
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I notice more often now that when something 'screws up' , there is usually a 'contractor' around who wasn't following 'protocol'. The solution has been that the business agreement has been 'terminated', thus making everyone feel more secure and welcome using the service.
 
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256bits said:
there is usually a 'contractor'
"Uberization"?

You just need to train a classifier on ethical and unethical ... .
ai_methodology_2x.png


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The bitter biting rapier-like wit of the authors obscures fundamental problems. Can one expect ethical behavior without morality? How do we replace morals based on superstition and tradition with reason?
 
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FAQ: What Are the Key Terms in AI Ethics?

What is AI Ethics?

AI Ethics is the study of moral principles and values that should govern the development, use, and impact of artificial intelligence. It aims to ensure that AI systems are developed and used in a responsible, transparent, and accountable manner.

Why is it important to talk about AI Ethics?

As AI becomes more prevalent in our daily lives, it is crucial to consider the potential ethical implications and consequences of its use. This includes issues such as bias, privacy, and the impact on society. Discussing AI Ethics helps to create guidelines and standards for responsible AI development and use.

Who is responsible for ensuring AI Ethics?

Ensuring AI Ethics is a shared responsibility among various stakeholders, including developers, policymakers, researchers, and the general public. Everyone has a role to play in promoting ethical AI practices and holding accountable those who develop and use AI systems.

How can we ensure that AI is used ethically?

There are several ways to ensure ethical AI use, including developing clear guidelines and standards, conducting thorough risk assessments, promoting diversity in AI development teams, and implementing regular audits and evaluations of AI systems.

What are some potential risks of not discussing AI Ethics?

Not discussing AI Ethics can lead to the development and use of AI systems that are biased, discriminatory, and harmful to individuals and society. It can also result in a lack of accountability and transparency, as well as the loss of public trust in AI technology.

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