ALGORITHMS@WORK

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CORNELL TECH

Our Roosevelt Island campus, in the heart of New York City, is unlike any other. It is an energetic environment designed for people, technology and ideas to come together, a place that fosters provocative experimentation and sparks innovation.

Roosevelt Island, NYC

Points of Algorithm Impact for Workplace

Legal and Ethical Issues to Trace Back

Techniques and Methods to Teach

ABOUT THE COURSE

To learn more sign up for a free webcast with the Cornell professors running the course.

Wednesday, February 19th  12:00 PM

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So, what are you waiting for?

FACULTY

M. ELIZABETH KARNS

MARTIN WELLS

IFEOMA AJUNWA

Professor and Chair

Cornell University

Department of Statistics

We were so fortunate to have found Sam when we moved to Van. As our Realtor, he helped us find the right house in the right neighborhood for the right price.

Sylvie Aucoin

 

Algorithms have become a popular and controversial tool in the workplace. They are used across the employment life cycle for everything from sorting resumes to find the perfect candidate, to predicting employee performance, to scheduling.

This short immersive course will help you understand how algorithms work and how you could effectively use them as a support tool at work. We will also discuss the ethical and legal questions that are becoming more prevalent as the use of algorithms expands throughout the workplace. Prior statistical training is not required to be successful in this course.


  1. HR Uses of Algorithms

  2. Influence of available big data and machine-learning on HR options

  3. Machine learning - benefits and risks that come with the removal of human decision-making

THE IMPACT OF ALGORITHMS IN THE WORKPLACE

Senior Lecturer

Cornell University, ILR

Department of Statistics

Assistant Professor 

Cornell University, ILR

Department of Organizational Behavior

Understanding the new frontier of HR


  1. Looking inside the “black box” - What are the variables that the tool is weighing?

  2. Negotiating the Algorithm - What flexibility do you have in defining variables and data sources? How to critically compare vendors and products.

  3. Case study on hiring - Example of how to effectively leverage new tools to win the battle for talent. Expansion of this concept to employee life-cycle management.

Understanding the factors that drive the algorithm

ALGORITHMS IN ACTION

MITIGATING THE RISK

Understanding the legal/ethical implications involved and protect your organization from legal risk


  1. Exploring legal and ethical issues

  2. Ensuring compliance and minimizing litigation risk 

  3. Applying audit techniques to algorithm/machine-learning results

WHO SHOULD ATTEND

  • Human Resource Experts and Leaders - Understand how algorithms operate within HR and how to bring the right experts to the table
  • Employment Legal Counsel - Learn how to consider the risks of big data and machine learning and advise your organization on mitigating the risk of big data and algorithms
  • Analytics Professionals - Explore the links between HR and legal implications

LOCATION

May 4-5 on Cornell University Tech Campus 

Roosevelt Island, New York City

REGISTER NOWVIEW BROCHURELEARN MORE

12 SHRM and HRCI credits
CLE applications pending

Friday May 4 and Saturday May 5

Spring 2018

Enrollment Limited to 30 Participants. Register Now!

KEY TOPICS & LEARNING OBJECTIVES

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