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The future of work is here: Are you ready?

Workplaces are evolving rapidly due to changes in technology, talent dynamics, and employee expectations. To drive innovation and remain competitive, companies need to prioritize inclusive cultures and cultivate resilient leadership skills that can effectively guide a diverse workforce.

Building inclusive AI

As AI use grows exponentially, we all have a responsibility to ensure it doesn’t reinforce the biases and inequities in our existing systems. Making inclusion a design principle, not an afterthought, is key to embedding fairness into the platforms that will drive future success.

Gender equity is critical for an equitable future of work

Embed D&I to increase resilience

By making diversity and inclusion core business priorities and integrating them throughout their organizations, companies build the resilience needed to weather disruptions and thrive under external pressures.

Featured insights

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  • Guide

    New

    AI for all: Why the EU’s Apply AI Strategy must centre inclusion to succeed

    AI systems that impact human-centric processes must be held to the highest standards of fairness and accountability.

    • Artificial intelligence
    • Government regulations
  • Blog post

    Using AI and automation responsibly

    Learn how organizations implement responsible AI strategies that promote inclusivity, mitigate bias, and ensure technological advances benefit all employees.

    • Artificial intelligence
    • Race, ethnicity, and culture
    • Inclusive workplaces
    • +2
  • Insights

    Global CEOs share insights on AI implementation

    CEOs discuss how they’re approaching AI in their organizations

    • Workforce trends
    • Inclusive workplaces
    • Artificial intelligence
    • +1
  • Blog Post

    Leverage AI while avoiding its risks and biases

    Cathy Cobey of EY, Noelle Russell of AI Leadership Institute, and Michael Thomson of Edelman share insights about AI bias.

    • Workforce trends
    • Artificial intelligence
    • Stereotypes and bias
  • Explainer

    Responsible artificial intelligence for inclusive workplaces

    This guide shows how to ensure that evolving AI business strategies are ethical and responsible and incorporate DEI principles.

    • Diversity and Inclusion governance
    • Race, ethnicity, and culture
    • Artificial intelligence
  • Article

    What is ‘responsible AI’? Panelists weigh in

    Panelists at the 2023 Catalyst Honours session on AI bias give an overview of the issues and share their solutions.

    • Workforce trends
    • Artificial intelligence
  • Trend Brief

    How AI reinforces gender stereotypes

    Artificial intelligence, designed by humans, can either break biases and stereotypes or reinforce them in the future. Can gender bias be eliminated?

    • Inclusive workplaces
    • Artificial intelligence
    • Gender representation
    • +1
  • Trend Brief

    AI and equitable hiring in a post-pandemic world

    Being intentional regarding bias in the hiring process is crucial for rebuilding a diverse workforce.

    • Inclusive workplaces
    • Recruitment and retention
    • Artificial intelligence
    • Stereotypes and bias
  • Trend Brief

    AI and gender bias

    Humans may be programming their own biases, including around gender and race, into the algorithms behind artificial intelligence.

    • Inclusive workplaces
    • Recruitment and retention
    • Stereotypes and bias
    • Artificial intelligence

Related webinars

  • Webinar recording

    AI and the future of work: Thriving in the relationship economy

    As we enter the Age of AI, we are transitioning from a knowledge economy to a relationship economy. This shift underscores the increasing value of interpersonal skills that AI cannot replicate.

    • Workforce trends
    • Artificial intelligence
  • Webinar recording

    How to use generative AI free of gender and racial bias

    Learn about the landscape of AI and business strategy, including legislative regulations, common biases, and risks.

    • Artificial intelligence
    • Government regulations

Related podcast episodes

Episode 109: Workplace inclusion in the age of AI

Episode 107: AI and the future of pink-collar jobs