Tag: Artificial Intelligence
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2022 Consumer Privacy Legislation
Author: Pam Greenberg; Publisher: National Conference of State Legislatures; Publication Year: 2022. The following article discusses how we often hear that legislators need to regulate artificial intelligence (AI), and this is a summary of 2022…
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Microsoft’s Framework for Building AI Systems Responsibly
Author: Natasha Crampton; Publisher: Microsoft; Publication Year: 2022. The following article features Natasha who is the Chief Responsible Artificail Intelligence (AI) officer at Microsoft. She talks about a framework to guide how we build AI…
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The Data Ethics of Open Banking
Artificial Intelligence, Data Collection, Lee Luda, Personal Data Management, Personal Information, ScatterLabAuthor: Natalie Cramp; Publisher: Finextra; Publication Year: 2021. The following article uses the case of artificial intelligence (AI) chatbot “Lee Luda,” built up by ScatterLab, to draw people’s attention to personal data management. Main ethical…
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What Should Data Ethics Mean to Financial Service Providers?
Author: N/A; Publisher: Symphony AI; Publication Year: N/A. The following source discusses how data ethics in finance is a topic that has not been talked about enough as the rise of artificial intelligence (AI) and…
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Responsible AI: Scale AI with Confidence
Artificial Intelligence, Data Governance, Data Security, Privacy Protection, Responsible AI, Transparency, Unintended BiasAuthor: N/A; Publisher: Accenture; Publication Year: N/A. The following article discuss how artificial intelligence (AI) has proved to be beneficial to business time and time again but with the use of AI comes a great…
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Salesforce Debuts AI Ethics Model: How Ethical Practices Further Responsible Artificial Intelligence
Author: N/A; Publisher: Sales Force: News & Insights; Publication Year: 2021. The following article describes how it comes as no surprise that consumers do not typically trust artificial intelligence (AI) technology. Ethical AI is the…
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Lies, Racism and Sexism: The Power of Data Stories
Author: Mike Bugembe; Publisher: TED; Publication Year: N/A. The following talk discusses how algorithms inherently have bias and there is a common problem of blind faith in data. Blind faith in data is trusting whatever…