<< June 2019 >>

Wednesday, June 5, 2019

Simons Institute Workshop — Wrong at the Root: Racial Bias and the Tension Between Numbers and Words in Non-Internet Data

Workshop: Theory of Computing: CS: Data Science | June 5 – 7, 2019 every day | 9 a.m.-5 p.m. |  Calvin Laboratory (Simons Institute for the Theory of Computing)

 Simons Institute for the Theory of Computing

Artificially intelligent systems extrapolate from historical training data. While the training process is robust to “noisy” data, systematically biased data will inexorably lead to biased systems. The emerging field of algorithmic fairness seeks interventions to blunt the downstream effects of data bias. Initial work has focused on classification and prediction algorithms.

This cross-cutting...   More >

 Free

  Register online

Thursday, June 6, 2019

Simons Institute Workshop — Wrong at the Root: Racial Bias and the Tension Between Numbers and Words in Non-Internet Data

Workshop: Theory of Computing: CS: Data Science | June 5 – 7, 2019 every day | 9 a.m.-5 p.m. |  Calvin Laboratory (Simons Institute for the Theory of Computing)

 Simons Institute for the Theory of Computing

Artificially intelligent systems extrapolate from historical training data. While the training process is robust to “noisy” data, systematically biased data will inexorably lead to biased systems. The emerging field of algorithmic fairness seeks interventions to blunt the downstream effects of data bias. Initial work has focused on classification and prediction algorithms.

This cross-cutting...   More >

 Free

  Register online

Friday, June 7, 2019

Simons Institute Workshop — Wrong at the Root: Racial Bias and the Tension Between Numbers and Words in Non-Internet Data

Workshop: Theory of Computing: CS: Data Science | June 5 – 7, 2019 every day | 9 a.m.-5 p.m. |  Calvin Laboratory (Simons Institute for the Theory of Computing)

 Simons Institute for the Theory of Computing

Artificially intelligent systems extrapolate from historical training data. While the training process is robust to “noisy” data, systematically biased data will inexorably lead to biased systems. The emerging field of algorithmic fairness seeks interventions to blunt the downstream effects of data bias. Initial work has focused on classification and prediction algorithms.

This cross-cutting...   More >

 Free

  Register online

Simons Institute Theoretically Speaking Series — Algorithms and the Law

Lecture: Theory of Computing: CS | June 7 | 6-7:30 p.m. |  David Brower Center

 2150 Allston Way, Berkeley, CA 94704

 Shafi Goldwasser, Simons Institute for the Theory of Computing; Martha Minow, Harvard University; Elliot Schrage, Facebook; Patricia Williams, Columbia University

 Peter Bartlett, Simons Institute for the Theory of Computing

 Simons Institute for the Theory of Computing

This panel will explore the contemporary promises and challenges of computer algorithms from the perspectives of lawyers, ethicists, philosophers, and computer scientists. What is missing from the current technological debates on the fairness and privacy of algorithmic decision making and their impact on the social fabric? What are promising tools of governance and frames of analysis? What do...   More >

Tuesday, June 25, 2019

ALI JAVEY lab and LIWEI LIN Lab at Sensors Expo 2019, June 25

Conference/Symposium: Berkeley Sensor & Actuator Center (BSAC): EE | June 25 | 10:30 a.m.-5 p.m. |  Sensors Expo 2019

  McEnery Convention Center, San Jose, CA

 Hnin Yin Nyein, ALI JAVEY Research Lab, Researcher, Berkeley Sensor & Actuator Center; Yu Long, LIWEI LIN Research Lab, Researcher, Berkeley Sensor & Actuator Center

 Berkeley Sensor & Actuator Center (BSAC)

McEnery Convention Center, San Jose, June 25-27
Free EXPO or Conference Discount Code BSAC100

Wednesday, June 26, 2019

KRIS PISTER Lab at Sensors Expo 2019, June 26: Booth #1439

Conference/Symposium: Berkeley Sensor & Actuator Center (BSAC): EE | June 26 | 8 a.m.-5 p.m. |  Sensors Expo 2019

  McEnery Convention Center, San Jose, CA

 Brian Kilberg, KRIS PISTER Research Lab, Researcher, Berkeley Sensor & Actuator Center

 Berkeley Sensor & Actuator Center (BSAC)

McEnery Convention Center, San Jose, June 25-27
Free EXPO or Conference Discount Code BSAC100

Thursday, June 27, 2019

Free Expo code "BSAC100" at Sensors Expo 2019, June 26-27: Booth #1439

Conference/Symposium: Berkeley Sensor & Actuator Center (BSAC): EE | June 27 | 8 a.m.-5 p.m. |  Sensors Expo 2019

  McEnery Convention Center, San Jose, CA

 Berkeley Sensor & Actuator Center (BSAC)

McEnery Convention Center, San Jose, June 25-27
Free EXPO or Conference Discount Code BSAC100

Friday, June 28, 2019

Chris Wiggins: Columbia University and NY Times: What should future statisticians, CEOs, and senators know about the history and ethics of data?

Seminar: CS: Data Science | June 28 | 2-3 p.m. | 1011 Evans Hall

 Chris Wiggins, Columbia University, New York Times

 Data Sciences

Chris Wiggins, associate professor of applied mathematics at Columbia University and Chief Data Scientist at The New York Times, will give an overview of lessons learned teaching his new course, "Data: Past, Present, and Future." The course traces intellectual technical advances from the 18th Century through the present, pairing them with critical inquiry into the forces that encouraged and...   More >