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https://www.humanresourcestoday.com/frs/26293486/from-awareness-to-action--an-hr-guide-to-making-accessibility-accessible Making accessibility accessible for organizations of all sizes may seem complex, but it doesn’t have to be. Prepare to broaden your understanding of Disability, Cultural Competency, and Inclusion with this insightful webinar. We’ll explore disability as a vibrant culture, understand the nuances of reasonable accommodations under the ADA, and navigate the complexities of undue hardship while challenging the status quo of accessibility practices. This session will offer practical strategies for creating a company culture of accessibility, ranging from cost-effective initiatives to moderate investments, ensuring an environment where every individual feels valued, respected, and included. We'll cover: • Introduction to Disability, Cultural Competency, and Inclusion • Defining reasonable accommodation and undue hardship • The power of intention in inclusion and how to empower employees with disabilities • Types of accessibility • How to create a company culture of accessibility at any size

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Presentation Title: AI & Labor Markets Presenter: Joaquim Jorge Description: Explore the transformative impact of Artificial Intelligence (AI) on labor markets in this comprehensive presentation by Joaquim Jorge. This insightful slideset delves into the opportunities and challenges that AI integration brings to various industries, highlighting key AI techniques and their real-world applications. Bias in Hiring and Firing: The presentation critically examines biases in AI systems used for hiring and firing decisions: Hiring Bias: Instances where AI systems, like LinkedIn’s recommendation system and OpenAI's GPT, have shown biases in résumé ranking and job advertisements, including gender bias and cost-efficiency algorithms inadvertently favoring male candidates. Firing Bias: AI's role in monitoring productivity and making termination decisions, with examples from Amazon’s “Time off Task” system and Uber’s driver performance metrics, highlighting unfair terminations affecting minority groups. Mitigation Strategies: Bias Audits: Regularly auditing AI systems to identify and mitigate biases. Diverse Training Data: Ensuring training data are diverse and representative of all demographic groups. Human Oversight: Implementing human oversight to review and validate AI decisions. Explainable AI (XAI): Making AI decisions transparent and accountable to detect and correct biases. Future of Labor Markets: The presentation explores potential futures of labor markets with AI, presenting both utopian and dystopian scenarios: Utopian Scenario: AI could lead to increased worker satisfaction by automating repetitive tasks, creating new career opportunities, and reducing physical labor demands, resulting in better work-life balance and economic opportunities. Dystopian Scenario: AI could widen the economic divide, increase job precarity, and erode worker rights. Risks include increased surveillance, loss of autonomy, and the social and psychological impacts of job displacement. Key Takeaways: Understand the role and impact of different AI technologies in various sectors. Recognize and address biases in AI systems, especially in hiring and firing decisions. Explore potential futures of labor markets with AI integration. Learn strategies for ensuring ethical and fair AI applications. This presentation is essential for professionals, researchers, and policymakers interested in the intersection of AI and labor markets, providing a detailed analysis of current trends, challenges, and future possibilities.

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