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Seven Legal Questions for Data Scientists
2021, Bias, Blog Article, Code of Ethics, Diversity, Equity & Inclusion, Education & Training, Legal & Policy, Notable Peoplelnbressa
Author: Patrick Hall, Ayoub Ouederni; Publisher: O’Reilly; Publication Year: 2021. The following article poses 7 legal questions that data scientists should address before they deploy artificial intelligence (AI). Answering these questions should help you better align your organization’s technology with existing and future laws, leading to less discriminatory and invasive customer interactions, fewer regulatory or…
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Data Ethics Framework
lnbressa
Author: N/A; Publisher: gov.uk; Publication Year: 2020. The following framework created by the UK government in 2020 is meant to be used throughout a full life cycle of a project. The framework is broken down into 3 overarching principles including transparency, accountability, and fairness. There is a scoring system from 1-5 associated with each of…
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Ethical Use of AI in Hiring
2021, Bias, Blog Article, Code of Ethics, Diversity, Equity & Inclusion, Frameworks, Privacy, Underrepresented Authorlnbressa
Author: Nina Alag Suri; Publisher: LinkedIn; Publication Year: 2021. The following article describes how artificial intelligence (AI) plays an important role in talent acquisition and can make more precise predictions of candidate success. In order to ethically use AI, companies should utilize ethical frameworks and an ethical code of conduct. Some notable topics include: candidates…
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Making Trust a Priority: A Framework for the Ethical Use of Data
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Author: Nicholas Knoop; Publisher: Medium; Publication Year: 2021. The following article discusses how with the global creation of data is expected to reach 180 zettabytes by 2025, and there is a growing imperative for data ethics as an essential pillar of society moving forward. Since everyone creates data everyone will be impacted, making the eventual…
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Microsoft’s Framework for Building AI Systems Responsibly
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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 systems. The standard details concrete goals or outcomes that teams developing AI systems must strive to secure. These goals help…
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Fairlearn
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Author: Miro Dudik; Publisher: Fairlearn; Publication Year: N/A. The following tool is Fairlearn which is a open-source project that helps data scientists improve fairness of their artificial intelligence (AI) systems. It includes a python library to assess fairness and improvement. It also includes educational resources about technical processes for unfairness mitigation. Key components of the…
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Data in Advertising: What it Means to be an Ethical Marketer
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Author: Michael Peralta; Publisher: iab. Tech Lab; Publication Year: 2022. The following article emphasizes the importance of ethical data collection and utilization in marketing, in addition to providing a set of principles to be followed when sourcing data for marketing purposes. Peralta argues that, while first-party data is often ethically sourced, third-party data (which is…
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Designing Ethical AI-Practices & Processes
2022, Bias, Diversity, Equity & Inclusion, Frameworks, Legal & Policy, Notable People, Podcast, Underrepresented Authorlnbressa
Author: Mia Shah-Dand; Publisher: AI Ethics Diaries: Keeping it Real Podcast; Publication Year: 2022. The following podcast episode features Milena Pribic, a senior artificial intelligence (AI) designer at IBM, who gives advice on building ethical AI. Her team digs into team practices and uses an ethical approach to understand the team as she wants her…
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Using Data Science to Boost Diversity, Using Diversity to Boost Data Science
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Author: Matt Swayne; Publisher: Penn State; Publication Year: 2021. The following article discusses the symposium, “Harnessing the Data Revolution to Enhance Diversity,” which had the message “Data science can only be data science for good when it can be data science for all.” The symposium aimed to dissect issues and provide opportunities surrounding improving equity…
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The importance of an ethical AI implementation in the financial industry
lnbressa
Author: Marc Garay Publisher: NTT Data Publication Year: 2021 Summary: The following article discusses how a financial institution can implement compatible ethical guidelines when trying to implement machine learning to keep up with the needs of the market. One way is being transparent with how the algorithm was created. Being able to explain how the…
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