Human decision bias: Human bias, also known as cognitive bias, can seep into AI systems through subjective decisions in data labeling, model development, and other stages of the AI lifecycle. These biases reflect the prejudices and cognitive biases of the individuals and teams involved in developin...
Confirmation bias: Closely related to cognitive bias, this happens when AI relies too much on pre-existing beliefs or trends in the data—doubling-down on existing biases, and unable to identify new patterns or trends. Exclusion bias: This type of bias occurs when important data is left out...
Investing in AI ethics:One of the most important ways to reduce AI bias is for there to be continued investment into AI research and AI ethics, so people can devise concrete strategies to reduce it. Diversifying AI:Having diverse perspectives in AI helps create unbiased practices as people brin...
How is AI being used today? AI is being used to power virtual assistants, personalized content and product recommendations, image generators, chatbots, self-driving cars, facial recognition systems and more. What are the types of AI? The 7 main types of artificial intelligence are: ...
【什么是AI偏见】《What is AI bias?》by Cassie Kozyrkov http://t.cn/EtcfpSL pdf:http://t.cn/EtcfpSy
AI has acolytes, with a faith-like belief in the technology’s current power and inevitable future improvement.Artificial general intelligenceis in sight, they say;superintelligenceis coming behind it. And it has heretics, who pooh-pooh such claims as mystical mumbo-jumbo. ...
What is the history of AI? The term “artificial intelligence” wascoined in 1956by computer scientist John McCarthy for a workshop at Dartmouth. But he wasn’t the first to write about the concepts we now describe as AI. Alan Turing introduced the concept of the “imitation game” in a...
Artificial intelligence (AI) is the ability of machines to learn and perform tasks like humans to successfully achieving goals. Learn how AI is used in business.
Bias and discrimination. Artificial intelligence works how we program it. If an application is not designed properly, with a consideration for inclusivity, it could reinforce existing biases or discriminate against certain groups of people. This is why it’s crucial to engage diverse partners in the...
This article is an in-depth exploration of the promise and peril of generative AI: How it works; its most immediate applications, use cases, and examples; its limitations; its potential business benefits and risks; best practices for using it; and a glimpse into its future.Webinar...