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Discussing Model Behavior

Discussing Model Behavior


United States


Discussing Model Behavior








Tay Bot: A Cautionary Tale

Show Notes on Tay Bot Tay Bot was a very short-lived chat AI. Launched by Microsoft in 2016 with the goal of researching conversational speech online, it soon learned all-too-well from users that there is a very dark side to human nature on the internet. Within 24 hours, Tay Bot was both repeating and generating […] The post Tay Bot: A Cautionary Tale appeared first on .


Incorporate Inclusivity

Show Notes on Incorporate Inclusivity Data scientists develop algorithms that have broad reach across the population. Chances are that the data science team building these widely-impactful models are not, themselves, large enough to represent so big a swath of the population. How can a small, likely less-diverse team acquire the wisdom of many? In this […] The post Incorporate Inclusivity appeared first on .


Apple Credit Card and Unfair Limits

Show Notes on Apple Credit Card Apple recently decided to offer a branded Apple credit card in conjunction with Goldman Sachs. This is the first foray into consumer credit cards for both companies and all did not go according to plan. David Heinemeier Hansson, creator of Ruby on Rails, applied for the card and tweeted […] The post Apple Credit Card and Unfair Limits appeared first on .


Retain Responsibility

Show Notes on Retain Responsibility One of the core tenets of ethical behavior in data science revolves around the concept of needing to retain responsibility or accountability. A differentiator between our take on this and that most commonly conveyed is the distinction between the two terms. Why, then, do we use the term “responsibility” instead […] The post Retain Responsibility appeared first on .


Data Ethics & Policy with Sheila Colclasure

Data is infinite. Digital is inevitable. Sheila Colclasure This week we are talking about the efforts underway around the world to promote ethical, accountable data use, the promise and terror of AI, the need for a universal translator, and much more. Leading this conversation is Sheila Colclasure, Global Chief Data Ethics Officer and Public Policy […] The post Data Ethics & Policy with Sheila Colclasure appeared first on .


Optimized Caffeine Consumption with 2B-Alert

Show Notes on 2B-Alert The US Army commissioned a study to find the optimal amount and timing of caffeine consumption for soldiers to maintain peak alertness. I have never been more proud of my tax dollars in all my life. Now, the 2B-Alert tool has been released in a web application accessible to the public. […] The post Optimized Caffeine Consumption with 2B-Alert appeared first on .


Colleges Fake Data for Rankings

Episode 30: Colleges Fake Data for Rankings – Show Notes Going to college is a life-altering decision for young adults. They prepare themselves with academics, standardized tests, extracurricular activities, and a host of research as to the best fit for their interests. The colleges, for their part, provide marketing materials, campus outreach, tours, and more […] The post Colleges Fake Data for Rankings appeared first on .


Tesla Cars Store Unencrypted Data

Episode 29: Tesla Data Storage – Show Notes Tesla has given the world a new promise between its electric engine, sleek styling, and amazing autopilot. But under the hood lurks a dangerous secret. Every time a phone pairs with the vehicle, all of the contact data, phone call logs, messages, and more gets pulled into […] The post Tesla Cars Store Unencrypted Data appeared first on .


Collect Carefully

Episode 28: Collect Carefully – Show Notes The era of Big Data has meant the ability gathering and processing of vast stores of information about almost anything. It enables data scientists to bring enormous swaths of data to bear on a given problem. Further, it expands the ability to collect data from research techniques that […] The post Collect Carefully appeared first on .


Predicting Mortality

Episode 27: Predicting Mortality – Show Notes Death comes for us all. Even for kings he comes. Robert Bolt Researchers in the UK have been able to vastly improve the capabilities to predict an early death for middle-aged patients. New algorithms were developed to be 76% accurate, even finding different indicators that were more predictive. […] The post Predicting Mortality appeared first on .


Citizenship, Privacy, and the 2020 Census

Episode 26 – Citizenship, Privacy, and the 2020 Census Show Notes The US Census happens every ten years and provides the basis for democratic representation, federal fund distribution, and swaths of research. But this time, the census is poised to potentially degrade its own results. The proposed inclusion of a single question around citizenship on […] The post Citizenship, Privacy, and the 2020 Census appeared first on Data Science Ethics.


US GDPR Coming Soon?

Episode 25 – US GDPR Show Notes Data scientists in many industries rely on personal data to develop models and make decisions. They can gather data from third parties, the internet, internal sources, and more to amass a stockpile of information on which to base algorithms. That could change if the government implements a US […] The post US GDPR Coming Soon? appeared first on Data Science Ethics.


Preventing Fake News

Episode 24: Preventing Fake News – Show Notes Researchers at OpenAI have made amazing breakthroughs in natural language processing in the creation and interpretation of content. So amazing, in fact, that they have elected to withhold the full version from release so that it does not fall into malicious hands. They stated preventing fake news […] The post Preventing Fake News appeared first on Data Science Ethics.


AI Has Americans Worried

Episode 23: Concerns About AI – Show Notes Horror stories of AI gone mad are everywhere in science fiction – but are they likely to become reality? Many Americans now believe so. Based on a recent Vox article covering a study from the University of Oxford, we discuss the top concerns about AI on the […] The post AI Has Americans Worried appeared first on Data Science Ethics.


Protect Privacy

Episode 22: Protect Privacy – Show Notes IT are not the only ones responsible to protect privacy of data. Data scientists share this burden as they search for, collect, store, utilize, and share vast amounts of information. In this episode, we explore what data scientists and non-practitioners should do to help protect privacy. Additional Links […] The post Protect Privacy appeared first on Data Science Ethics.


Fair Fares? How airlines get away with differential pricing

Episode 21: Differential Pricing in Opaque Markets – Show Notes Why do some people pay $120 and others pay $650 for a seat on the same airplane? Or the same car insurance policy? Differential pricing is everywhere but it is especially prevalent in opaque, algorithm-driven markets. Is it fair to charge differently for different people? […] The post Fair Fares? How airlines get away with differential pricing appeared first on Data Science Ethics.


Price Discrimination in Retail

Episode 20: Price Discrimination in Retail – Show Notes Price discrimination is when companies show different prices to different customers based on what each customer is willing to pay. For many retailers, that means gathering data and creating algorithms that predict what a customer will spend on each item. Is it fair to force customers […] The post Price Discrimination in Retail appeared first on Data Science Ethics.


Proxy Variables

Episode 19: Proxy Variables – Show Notes This quick, informational segment introduces the concept of proxy variables. In short, proxy variables are data elements used in place of something that may be more pertinent but also more difficult to measure. It also touches on confounding and lurking variables – in case you wanted a dose […] The post Proxy Variables appeared first on Data Science Ethics.


Train Transparently

Episode 18: Train Transparently – Show Notes As algorithms are created and unleashed upon the world, it is crucial to understand not only what they are but how they came to be. The best way to accomplish this before chaos is wreaked is to train transparently – meaning to let people know what is going […] The post Train Transparently appeared first on Data Science Ethics.


Seasons Greetings from Lexy and Marie

Season’s greetings to you! Thank you for joining us this year for the Data Science Ethics Podcast. We’re loving this an we’re thrilled for what’s still to come. We’ve got some great topics on deck for 2019 and are continuing to make progress towards launching the members only podcast. We look forward to having you […] The post Seasons Greetings from Lexy and Marie appeared first on Data Science Ethics.