Author: lnbressa

Inside Amazon’s Clickworker Platform: How Half a Million People are Being Paid Pennies to Train AI

Amazon, Machine Algorithms, Mechanical Turk

Author: Hope Reese; Publisher: Tech Republic; Publication Year: 2016. The following article discusses how Amazon’s Mechanical Turk (AMT) is an online platform that allows people to perform small tasks for pay. This group, as of…
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The Health Pulse: AI and Bias in Healthcare

Algorithms, Analytics Lifecycle, Healthcare Systems, Risk Assessment

Author: Hiwot Tesfaye, Greg; Publisher: SAS; Publication Year: 2022. The following podcast episode discusses how algorithms in healthcare are often used for accessing risk. Pitfalls come from not understanding how the healthcare system has worked…
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Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

Debiasing, Gender Bias, Natural Language Processing Technology, Word Embeddings

Author: Hila Gonen, Yoav Goldberg; Publisher: Allen Institute for Artificial Intelligence; Publication Year: 2019. The following study talks about gender bias in word embeddings, an important component in Natural Language Processing. There have been debiasing…
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Are Law Firms Liable When Their Computers Are Hacked?

Data Security, Data Security Breaches, Hacker, Third-Party

Author: N/A; Publisher: HG Legal Resources; Publication Year: N/A. The following resource discusses how despite being a victim, organizations and individuals can be held liable for data security breaches. Outsourcing to a third party vendor…
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Bringing Principles of Ethics to AI and Drug Design

Artificial Intelligence, Chemical Compound Data, Drug Development, Historical Medical Data, Machine Learning, Medication Research, Predictions

Author: Helen Santoro; Publisher: Scope; Publication Year: 2022. The following article discusses how artificial intelligence (AI) has proven potent in analyzing historical medical data, chemical compound data, and using it to predict viable treatments. As…
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Privacy & Security Perspectives: Interoperability, Prospects for HIPAA Refresh, More

Perspective, Sensitive Data, Technology Development

Author: Bill Siwicki; Publisher: Healthcare IT News; Publication Year: 2020. The following article features a conversation highlighting the importance of keeping multiple perspectives in mind for any kind of technology development that requires sharing of…
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Data Security for Owners and Contractors: Protect Construction Investments From Catastrophic Loss

Construction, Data Privacy, Late Adopters, Material Safety

Author: Helen Melchiondo; Publisher: JDSupra; Publication Year: 2020. The following article discusses how in late adoption agencies, specifically construction, off the shelf cloud providers have been a boon to scalability and demand surge concerns. However,…
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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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Digital Epidemiology: The Ethics of Using Health Data in a Pandemic

Contract Tracing, Epidemiology, Machine Learning

Author: N/A Publisher: Health Europa Publication Year: 2020 Summary: The following article brings attention to ethical concerns present in our digital world and epidemiology. It discusses the ethics of contract tracing. There has to be…
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