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California Implicit Bias MCLE

Understanding and Addressing Unconscious Bias at Work
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Presented by: Vida Thomas
CA: 1.25 Implicit Bias
Description
This program will help attorneys understand the causes and forms of unconscious bias and give them the tools the need to confront and mitigate their own biases.
Rule 8.4(g): The Anti-Discrimination Rule
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Presented by: Cari Sheehan
CA: 1 Implicit Bias
Description
This seminar will explore Rule 8.4(g), bias, and civility in the legal profession.
Recognizing and Addressing "Bro Culture" and Other Barriers to Gender Inclusion in the Legal Industry
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Presented by: Rachelle Berlin Weathersby
CA: 1.25 Total (0.25 General and 1 Implicit Bias)
Description
This program will inform attorneys on how a harmful quid bro quo culture can be recognized in their workplace, and give practical instruction on how to break down these types of barriers if they exist.
If You Have A Brain, You Have Bias
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Presented by: Cari Sheehan
CA: 1 Implicit Bias
Description
This seminar will delve into the school of thought of “if you have a brain, you have a bias”. We will explore bias in the legal profession from representing clients, managing a law firm, and internal promotions.
The Inclusive Lawyer: Advancing Diversity, Equity, & Inclusion in Legal Practice
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Presented by: Cari Sheehan
CA: 1 Implicit Bias
Description
This seminar is designed to equip legal professionals with the knowledge and tools to recognize and address implicit biases, combat microaggressions, and cultivate inclusive workplace cultures.
Ethics, Bias, and the Legal Profession: Understanding Unconscious Bias and Regulatory Responses
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Presented by: Alexandra Darraby
CA: 1 Implicit Bias
Description
This course unpacks the origins and definitions of bias through legal, psychological, and sociopolitical lenses.
AI, Algorithmic Bias, and Employment Law: Navigating Legal Challenges And Ensuring Fairness in the Workplace
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Presented by: Diana-Marie Laventure
CA: 0.75 Implicit Bias
Description
This course will provide an overview of algorithmic bias, including the basics of how biases can be embedded in AI algorithms and their general effects and their legal implications.