June General Meeting

  • June 20, 2017
  • 11:45 AM - 1:00 PM
  • Abilene Country Club

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Please join us for our June monthly Big Country SHRM meeting at Abilene Country Club from 11:45 AM to 1:00 PM.  

 

 

 Topic: Unconscious Bias in the Workplace

 

 

Speaker: Sandra Lauro: Dede Church & Associates

 

 

 

 

Sandra (“Sandy”) Lauro is a labor and employment attorney who spent the majority of her 20-plus years in the legal field focused on assisting clients with effective and practical compliance practices and policies designed to fit an organization’s culture and to maximize positive employee relations. Presently, Sandy focuses her practice on neutral and training services, including serving as an arbitrator, internal investigator, and corporate trainer on issues ranging from diversity inclusion, managing within the law, and respect in the workplace.  Sandy has her own law firm in Plano, Texas and is also a senior consultant for Dede Church & Associates, a group that focuses on assisting in the resolution and investigation of workplace concerns and/or disputes as well as management training and coaching.  Sandy has also been retained as an expert witness by both defense and plaintiff counsel to provide opinions on standards of care and best practices as it relates to employment policies and compliance efforts.

Sandy is a frequent speaker and author on employment law matters.  Sandy is the author of “Employment Rules and Policies” and “Arbitration of Employment Claims” chapters in the treatise “Texas Employment Law” (James Publishing).  She spoke at an American Bar Association Annual Meeting for the Tort & Insurance Practice Section on the “Science of Discrimination.” Her articles have appeared in HR and legal periodicals, including Compensation and Benefits Review, Texas Employment Law, the Texas Bar Journal, the Advocate of the State Bar of Texas Litigation Section, and the Dallas Bar Association publication. Sandy was recognized with the “State Bar of Texas Best Series of Articles – Substantive Law” award for her article on USERRA in the “Headnotes” publication of the Dallas Bar Association.

Sandra is Board Certified in Labor and Employment Law by the Texas Board of Legal Specialization, and the American Arbitration Association has selected her as an arbitrator/neutral for its employment law arbitration panel.  She also has been trained as a mediator by the highly esteemed Sid Stahl in his mediation training program, “Learn from the Masters.”   Sandy is a member of the Dallas Bar Association where she serves on the Executive Committee for the Labor & Employment Law Section.  She is also a member of the Texas State Bar Association and a member of the Dallas area Women in Dispute Resolution.

Sandy attended Wayne State University where she graduated summa cum laude with a degree in Political Science.  She went on to obtain her law degree from the University of Michigan Law School. 

Summary:

The demographic makeup of the United States has changed dramatically over the last 25 years and is continuing to do so. Our country’s population is more diverse in ethnicity, religion, national origin, and in other ways than ever before. As a result, we are more likely to come into contact in the workplace with people unlike ourselves, and this can lead to conflict and unconscious bias in decisions. The objectives of this training are to (1) identify the new challenges of diversity in the workplace caused by a wide range of employee differences, (2) understand the danger and challenge of unconscious bias in the workplace, and (3) provide strategies to encourage respect and prevent unconscious bias from adversely impacting workplace interactions and decisions.

 

Learning Objectives:

1. Understand unconscious bias.

2. Identify how unconscious bias can impact workplace interactions and decisions.

3. Discuss strategies to educate and train employees to be respectful of each other in spite of differences in backgrounds and views.

Explain best practices to address workplace conflict caused by diversity and to prevent unconscious bias.      

   

 

 

   

 

       

 

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