computer science

Sorelle Friedler

Sorelle Friedler is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Sorelle Friedler rather than just read about it. In short: Sorelle Alaina Friedler is an American computer scientist who is an associate professor at Haverford College. She is the co-founder Association for Computing Machinery Conference on Fairness, Accountability, and Transparency.

Key takeaways

Sorelle Friedler belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Sorelle Friedler to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Sorelle Friedler from memory before moving on to harder problems.

Reference excerpt

Sorelle Alaina Friedler is an American computer scientist who is an associate professor at Haverford College. She is the co-founder Association for Computing Machinery Conference on Fairness, Accountability, and Transparency. Her research seeks to prevent discrimination in machine learning.

Early life and education Friedler earned her bachelor's degree at Swarthmore College. She moved to the University of Maryland, College Park for her graduate studies, where she studied geometric algorithms.

Research and career Friedler joined Alphabet Inc. as a software engineer, where she worked with X on the development of weather balloons that can provide internet access to remote communities. Friedler has advocated for the careful use of artificial intelligence and machine learning. In particular, she has spoken about how biased data and algorithms reinforce social inequality. In 2015 she was made a Fellow at the Data & Society Research Institute. Friedler has worked with Josh Schrier and Alexander Norquist on the application of data mining to accelerate materials discovery. They created a computer algorithm capable of predicting whether a set of reagents will create a crystalline materials when mixed in a solvent and heated. To create the tool, they compiled a database of almost 4,000 chemical reactions, wrote an algorithm that could mine for patterns in data and provide insight about why some experiments fail while others succeed. The algorithm was correct 89% of the time, whilst researcher (human) predictions only had a 78% success rate. Friedler and her co-workers published the database online (darkreactions.haverford.edu/) to encourage other researchers to share their data.

Awards and honors 2006 AT&T Labs Fellowship Program 2009 Ann G. Wylie Dissertation Fellowship 2019 Chace/Parker Teaching Award 2019 Mozilla Responsible Computer Science Challenge

Selected publications Feldman, Michael; Friedler, Sorelle A.; Moeller, John; Scheidegger, Carlos; Venkatasubramanian, Suresh (2015). "Certifying and Removing Disparate Impact". Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, New York, US: ACM Press. pp. 259–268. arXiv:1412.3756. doi:10.1145/2783258.2783311. ISBN 978-1-4503-3664-2. S2CID 2077168. "Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials". doi:10.1021/acs.chemmater.8b03272.s001. {{cite journal}}: Cite journal requires |journal= (help) Adler, Philip; Falk, Casey; Friedler, Sorelle A.; Rybeck, Gabriel; Scheidegger, Carlos; Smith, Brandon; Venkatasubramanian, Suresh (2016). "Auditing Black-Box Models for Indirect Influence". 2016 IEEE 16th International Conference on Data Mining (ICDM). IEEE. pp. 1–10. arXiv:1602.07043. doi:10.1109/icdm.2016.0011. ISBN 978-1-5090-5473-2.

Personal life Friedler is married to Rebecca Benjamin.

References

External links Sorelle Friedler publications indexed by Google Scholar

Illustrations

Worked examples

Example 1 — a first encounter with Sorelle Friedler

Start with the simplest possible case. Write down what Sorelle Friedler claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Sorelle Friedler before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Sorelle Friedler ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Sorelle Friedler

In research: Sorelle Friedler appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Sorelle Friedler in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Sorelle Friedler is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American women, American computer scientists, American women academics, so understanding it makes those chapters shorter.
In everyday life: Look for Sorelle Friedler outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Sorelle Friedler” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Sorelle Friedler in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Sorelle Friedler means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Sorelle Friedler out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Sorelle Friedler in simple terms?

Why does Sorelle Friedler matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Sorelle Friedler?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Sorelle Friedler.