Tag: Training Data

Algorithmic Bias and Fairness: Crash Course AI #18

Algorithms, Discrimination, Efficiency, Facial Recognition Systems, Manipulated Data, Training Data, Unbalanced Data

Author: Jabril Ashe; Publisher: CrashCourse; Publication Year: 2019. The following video discusses how bias is a natural outcome as systems such as the human brain or a computer algorithm try to take shortcuts in order…
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We Don’t Have Enough Women in Clinical Trials — Why That’s a Problem

Clinical Trials, Gender Gap, Training Data

Author: Elizabeth Pratt; Publisher: Healthline; Publication Year: 2020. The following article discusses how data scientists need to be cautious about applying results across all demographics if all demographics were not well represented in the data…
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Ethics of the Data Science Practice

Artificial Intelligence, Game of Thrones, Training Data

Author: Ghislain Landry Tsafack Chetsa; Publisher: Towards Sustainable Artificial Intelligence; Publication Year: 2021. The following article makes a Game of Thrones reference to connect the fictional character’s use of power for their advantage to the…
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The Three Big Ethical Concerns with Artificial Intelligence

Artificial Intelligence, Biased Data, Training Data

Author: Frank Rudzicz; Publisher: MaRS Discovery District; Publication Year: 2019. In the following video, Frank Rudzicz, an artificial intelligence (AI) researcher, lays out the 3 big ethical concerns in AI. The first one is what…
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Ethical Challenges Posed by Big Data

Autonomy, Big Data, Consent, Data Collection, Equity, Privacy Protection, Training Data

Author: Edmund G. Howe, Falicia Elenberg; Publisher: Innovations in Clinical Neuroscience; Publication Year: 2020. The following paper discusses how Big Data is becoming a larger field within the world of data science as more and…
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Ethics, Data and Insurance: 4 Developments Worth Watching

Algorithms, Biased Data, Customer Profiling, Training Data

Author: Duncan Minty; Publisher: Scandinavian Insurance Quarterly (SIQ); Publication Year: 2017. The following article discusses how the insurance industry has long been using historical data to underwrite, price, and manage risks. The advanced algorithms that…
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AI Facial Recognition Systems Work the Worst for Black Women

Algorithmic Injustice, Artificial Intelligence, Criminal Justice System, Facial Recognition Systems, Gender Bias, Racial Bias, Training Data

Author: Dianna Mazzone; Publisher: Allure; Publication Year: 2022. The following article describes how Dr. Joy Buolamwini, executive director of The Algorithmic Justice League, has been working to fight against racial and gender bias in facial…
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Synthetic Data Generation

Amazon, American Express, Data Protection, Google, Insufficient Representation, Synthetic Data, Training Data, Underrepresented Communities

Author: Christian Schitton; Publisher: Medium; Publication Year: 2022. The following article discusses how synthetic data is a less well-known area of data science. Synthetic data addresses issues of insufficient representation in data. For example, models…
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4 Principles of Responsible AI and Best Practices to Adopt Them

Data Access, Data Classification, Data Encryption, Fairness, Representation in Training Datasets, Responsible Artificial Intelligence, Synthetic Data, Training Data, Transparency, Usage Restrictions

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…
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