Author: Christopher Tozzi; Publisher: ITPro Today; Publication Year: 2022. The following article discusses how businesses have started putting more of an “inclusive” focus on machine learning models to avoid bias and error while creating models.…
Author: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article explores 4 principles for responsible AI design and recommends best practices. The 4 principles, along with best practices, include: 1). achieving fairness by…
Author: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article describes how in the imperfect world, AI can’t be expected to be completely unbiased. However, there are various ways to minimize bias by…
Author: Brian Patrick Green; Publisher: Markkula Center for Applied Ethics, Santa Clara University; Publication Year: 2020. The following article discusses how AI and machine learning is transforming society. As these are emerging technologies, we are…
Author: Bo Cowgill, Fabrizio Dell’Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau; Publisher: Navigating the Broader Impacts of AI Research Workshop at the 34th Conference on Neural Information Processing Systems; Publication Year: 2020. The…
Author: Barbara Cosgrove; Publisher: Workday; Publication Year: 2020. The following blog post gives technology companies 8 ways to incorporate ethical considerations into building their AI algorithms. 1). Define a common agreement about what AI ethics…
Author: Arathi Sethumadhavan, Joe Garvin; Publisher: World Economic Forum; Publication Year: 2022. The following article describes how now that the field of artificial intelligence is growing, data scientists and executives can benefit from looking to…
Author: Andrew Beers; Publisher: Forbes; Publication Year: 2022. The following article lists guidelines for ethical standards for companies using data ethics and AI. The first of the 3 guidelines is by setting up review panels.…