hcds   182

« earlier    

Ethics in data project design: It’s about planning - O'Reilly Media
When I explain the value of ethics to students and professionals alike, I refer it as an “orientation.” As any good designer, scientist, or researcher knows, how you orient yourself toward a problem can have a big impact on the sort of solution you develop—and how you get there. As Ralph Waldo Emerson once wrote, “perception is not whimsical, but fatal.” Your particular perspective, knowledge of, and approach to a problem shapes your solution, opening up certain paths forward and forestalling others.

Data-driven approaches to business help optimize measurable outcomes—but the early planning of a project needs to account for the ethical (and in many cases, the literal) landscape to avoid ethically treacherous territory. Several recent cases in the news illustrate this point and show the type of preparation that enables a way to move forward in both a data-driven and ethical fashion: Princeton Review’s ZIP-code-based pricing scheme, which turned out to unfairly target Asian-American families, and Amazon’s same-day-delivery areas, which neglect majority-Black neighborhoods.
data  ethics  hcds  ethical_ai  data_science 
2 days ago by jaimoe
My vision of a possible strategy. – Christian Kleineidam – Medium
Given the recent growth in the number of items inside Wikidata there was the idea voiced that we might need tools for dealing with more data. One effect that the recent FactGrid workshop had on me was the appearance that different people have quite a different idea of how Wikidata works despite them spending serious amounts of time with it.
wikidata  hcds  structured_data  wikipedia 
5 days ago by jaimoe
Passing Notebooks in Class: West Big Data Innovation Hub’s UC Berkeley and UW partner with Microsoft on shared data science infrastructure | Division of Data Sciences
In a similar vein, the new DATA 512: Human-Centered Data Science(link is external) (link is external) course at UW aims to enable reproducible workflows and foster community dialogue. “I expect that Jupyter notebooks and the course infrastructure we are piloting for the first time will be great teaching and communication tools for reinforcing best practices and supporting experimentation,” notes instructor Jonathan T. Morgan, Senior Design Researcher at the Wikimedia Foundation. The notebooks will help guide students in sharing the story of their research using various tools, from code and data to prose and visualizations, with the goal of making the projects more accessible and impactful for a wider variety of audiences.
hcds  berkeley  data_science  blog 
15 days ago by jaimoe
Testing AI concepts in user research – uxdesign.cc
step by step workflow for prototyping and user testing AI-driven experiences (seems to focus on chatbots)
aiux  machine_learning  hcds  prototype  ux  user_experience 
17 days ago by jaimoe
YouTube's Creepy Kid Problem Was Worse Than We Thought
YouTube says that it’s removed ads from some 2 million videos and over 50,000 channels that featured disturbing content aimed at kids. Some of that content actually exploited children in videos. And while we’ve long known that YouTube struggles to keep bad stuff off of its platform, the fact that tens of thousands of channels involved doing bad things to children feels chilling.
hcds  ethical_ai 
19 days ago by jaimoe
It’s time to stop trusting Google search already - The Verge
Last weekend, in the hours after a deadly Texas church shooting, Google search promoted false reports about the suspect, suggesting that he was a radical communist affiliated with the antifa movement. The claims popped up in Google’s “Popular on Twitter” module, which made them prominently visible — although not the top results — in a search for the alleged killer’s name. Of course, the was just the latest instance of a long-standing problem: it was the latest of multiple similar missteps. As usual, Google promised to improve its search results, while the offending tweets disappeared. But telling Google to retrain its algorithms, as appropriate as that demand is, doesn’t solve the bigger issue: the search engine’s monopoly on truth.
algorithmic_bias  search  hcds  ethical_ai 
20 days ago by jaimoe
Gender by Wikipedia Language | WHGI
This plot shows the top 40 Wikipedia Languages (by number of gendered biographies), and compares their number of gendered biographies to female percentage of those biographies. This cutoff is arbitrary for the sake of clearly visualizing the distribution across major Wikipedia languages. For a comprehensive coverage, one can fetch the complete data from the data repository.
wigi  gender_gap  wikipedia  tools__addons_and_dashboards  wmflabs  research  hcds 
20 days ago by jaimoe
Something is wrong on the internet – James Bridle – Medium
Someone or something or some combination of people and things is using YouTube to systematically frighten, traumatise, and abuse children, automatically and at scale, and it forces me to question my own beliefs about the internet, at every level. Much of what I am going to describe next has been covered elsewhere, although none of the mainstream coverage I’ve seen has really grasped the implications of what seems to be occurring.
toxicity  internet_culture  recommendations  recsys_eval  ethical_ai  algorithmic_bias  algorithmic_transparency  hcds 
25 days ago by jaimoe
How We Determine Product Success – Netflix TechBlog – Medium
At Netflix we engage in what we call consumer science: we test new ideas with real customers, at scale, and we measure for statistically significant differences in how they engage with our product. Are members staying with the service longer? Are they instantly watching more TV shows and movies from us?
hcds  machine_learning  abtesting  data_science  recommendations  recsys_eval 
4 weeks ago by jaimoe
How does Office Delve know what's relevant to me? - Office Support
Delve shows you a mix of content from across Office 365. You’ll see both your own documents, and documents your colleagues are working on. These are documents that are stored in OneDrive for Business or SharePoint in Office 365, or that have been shared with you as attachments in emails.

The documents you see on your Home page aren’t organized according to a timeline, for example last modified, or in alphabetical order. Instead, Delve organizes documents according to what’s likely to be most relevant to you right now. The same is the case when you search using the search box. You'll see personalized search results based on what's likely to be relevant to you.
hcds  recsys_eval  infoviz  recommendations  microsoft 
4 weeks ago by jaimoe
UX Case Study: SoundCloud's Mobile App - Usability Geek
SoundCloud is undoubtedly the dark horse of the major music streamers, making it an excellent candidate for Codal’s recurring UX case study series. So let us plug into SoundCloud’s User Experience (UX), and discover what they do well, where they can improve, and how we learn from their successes and mistakes.
ux  ui  recsys_eval  recommendations  hcds  mobile  music 
4 weeks ago by jaimoe
How One Psychologist Is Tackling Human Biases in Science
Psychologist Brian Nosek of the University of Virginia says that the most common and problematic bias in science is “motivated reasoning”: We interpret observations to fit a particular idea. Psychologists have shown that “most of our reasoning is in fact rationalization,” he says. In other words, we have already made the decision about what to do or to think, and our “explanation” of our reasoning is really a justification for doing what we wanted to do—or to believe—anyway. Science is of course meant to be more objective and skeptical than everyday thought—but how much is it, really?
open_research  open_science  bias  replication  hcds  data_science 
5 weeks ago by jaimoe
Ethical issues in research using datasets of illicit origin | Light Blue Touchpaper
Data of illicit origin is data obtained by illicit means such as exploiting a vulnerability or unauthorized disclosure, in our previous work this was leaked databases from booter services. We analysed existing guidance on ethics and papers that used data of illicit origin to see what issues researchers are encouraged to discuss and what issues they did discuss. We find wide variation in current practice. We encourage researchers using data of illicit origin to include an ethics section in their paper: to explain why the work was ethical so that the research community can learn from the work. At present in many cases positive benefits as well as potential harms of research, remain entirely unidentified. Few papers record explicit Research Ethics Board (REB) (aka IRB/Ethics Commitee) approval for the activity that is described and the justifications given for exemption from REB approval suggest deficiencies in the REB process. It is also important to focus on the “human participants” of research rather than the narrower “human subjects” definition as not all the humans that might be harmed by research are its direct subjects.
hcds  ethical_ai  research_ethics  data_privacy 
5 weeks ago by jaimoe
Mythbusting: Corporate Ethnography and the Giant Green Button | PARC blog
The pioneering use of social scientists in technology corporations — often referred to as corporate ethnography — has largely been attributed to, well, us. And our groundbreaking Innovation Services group continues to help clients identify unmet needs in the marketplace, recommend innovation practices that work, and help create products and services that sell. We wanted to share the popular tale of ethnography at PARC, because the way the story unfolds reveals how powerful a tool it can be…
ethnography  parc  hcds 
6 weeks ago by jaimoe
Best fast-food chain in every state - Business Insider
Americans are passionate about fast food.

To determine the most popular fast-food chain in each state, Foursquare looked at which chains received the most visits on average per location in every state based on the total number of visits to each chain divided by the number of locations in that state.

For California and Texas, there are only a handful of locations for the respective chains. However, the people who visit those locations tend to visit a lot.

Chick-fil-A dominates, which isn't surprising —  the fried-chicken chain generates more revenue per restaurant than any other fast-food chain in the US.
hcds  data_science  data_journalism  infoviz  methodology 
6 weeks ago by jaimoe
Bad Internet Maps Are Created to Make You Crazy - The Ringer
That Business Insider fast food map you’re mad about is, like most internet maps, complete bullshit
hcds  data_science  data_journalism  infoviz  methodology 
6 weeks ago by jaimoe

« earlier    

related tags

aaron  abtesting  affect  ai  aiux  algorithmic_bias  algorithmic_transparency  algorithms  analytics  anonymization  api  auditing  berkeley  bias  big_data  blm  blog  cmc  content_analysis  courses  crowdwork  data  data_journalism  data_privacy  data_science  datasets  design  discussion  ds4ux  elasticsearch  ethical_ai  ethics  ethnography  facebook  floss  gender_gap  geolocation  github  google  guidelines  hcd  hci  infosec  infoviz  internet_culture  jigsaw  jupyter  kaggle  katie  law  linux  machine_learning  methodology  microsoft  ml  mobile  music  norms  nyt  online_privacy  open_data  open_research  open_science  opendata  pandas  paramecium  parc  participatory_design  podcast  policy  politics  presentation  privacy  project_management  prototype  qualitative  recommendations  recsys_eval  reddit  replication  research  research_ethics  rigor  science  seamful_ui  search  sociotechnical  spam  stack  standards  statistics  structured_data  survey  syllabus  tools__addons_and_dashboards  toxicity  turk  twitter  ucd  ui  usability  user_experience  ux  uxr  web  wigi  wikidata  wikimedia  wikipedia  wmflabs 

Copy this bookmark:



description:


tags: