Category: Blog Article

5 Questions to Ask to Ensure AI Ethics

Apple, Goldman Sachs, Transparency

Author: Dan Power; Publisher: Evanta; Publication Year: 2022. The following article lists questions that need to be asked to check if any ethics problems exist or if anything has been missed. Large companies such as…
read more >>
Algorithmic Bias: Why Bother?

Algorithmic Bias, Algorithms, Artificial Intelligence, Decision-Making

Author: Damini Gupta, T. S. Krishnan; Publisher: California Review Management; Publication Year: 2020. The following article highlights the importance and the need to reduce algorithmic bias. The article starts by recognizing that human bias will…
read more >>
Ethics in Health Informatics

Bioethics, Health Insurance Portability and Accountability Act of 1996, Patient Information, Patient Privacy, Privacy Act of 1974, Racial Bias, Transparency

Author: Courtney Eiland; Publisher: Noodle; Publication Year: 2022. The following article discusses the importance of bioethics for healthcare professionals. The author begins by highlighting laws pertaining to patient privacy, such as the Privacy Act of…
read more >>
Why Marketers Should Explore These 4 Emerging Technology Trends

Artificial Intelligence, Deepfake, Digital Twin of a Customer, DToCs, Identity Fraud, Marketing, Transparency

Author: Claudia Ratterman; Publisher: CMSWIRE; Publication Year: 2022; The following article describes how there are 3 emerging technologies that will transform companies’ marketing abilities. The first development is artificial intelligence (AI) software that can detect…
read more >>
Managing Data Ethics: A Process-Based Approach for CDOs

Chief Data Officers, Data Context, Data Creep, Data Safeguards, Data Solutions, Online Access

Author: Christopher Wilson; Publisher: Deloitte. Insights; Publication Year: 2019. The following article discusses how businesses are sometimes so concerned about solving issues with data that they ignore the new issues that arise from even using…
read more >>
Understanding Data Quality: How Data Quality Problems Arise

Ambiguous Data, Data Entry Errors, Data Quality, Data Transformation Errors, Duplicate Data, Information Gaps, OCR Errors, Operating Systems

Author: Christopher Tozzi; Publisher: Precisely; Publication Year: 2022. The following article discuses how data quality is the data set’s ability to serve a business for its intended use. Data quality is essential because It allows…
read more >>
Doing Data for Good Right

Data Analysis, Data Context, Data-for-Good, Ethical Choices, Limits, Pro-Bono, Quantifying Potential Harm

Author: Christine Henry; Publisher: DataKind; Publication Year: 2018. The following article features DataKind (a data-for-good organization) outlining their data code of ethics for being a pro-bono data scientist. They emphasize that ethics is always important,…
read more >>
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…
read more >>
Study: Data Ethics is a Priority for CMOs but Half Don’t Know What That Truly Means

Chief Marketing Officers, Ethical Considerations, Terms and Conditions

Author: Chloe Tan; Publisher: Marketing-Interactive; Publication Year: 2022. The following article discusses a study on how chief marketing officers are emphasizing that data ethics is important within their company but many do not actually know…
read more >>