Beyond algorithms: AI's impact on hiring, the workplace, DEIB, and beyond
Bias in AI and How to Decrease Its Impact
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Forrester estimates that almost 100% of organizations will be using AI by 2025 yet AI is not without its own biases. For example, a US Department of Commerce study found that facial recognition AI often misidentifies people of color. If law enforcement uses facial recognition tools, this bias could lead to wrongful arrests of people of color. Critics fear that similar AI bias can affect many aspects of businesses, including hiring. We are joined by Skye King, SVP – Social Impact and Resilience at Ogilvy to discuss bias in AI and how to decrease it.
Meet the Speakers
Skye (Schulte) King brings more than 20 years of experience in business strategy & communications working at the intersection of health, technology, & the environment. Her expertise is in effectively applying behavior science, emotional intelligence, & storytelling to build relationships, communicate risk, and engage audiences.
She has broad experience in branding and positioning for early-stage start-ups, small/mid-sized organizations, & Fortune 500 companies. She also has experience in both the for-profit & non-profit sectors creating & driving nationwide outreach & engagement campaigns.
In addition to her role at Ogilvy, Skye founded Geode Lifeworks, a company that provides upskilling, workshops, and coaching around understanding and applying new technologies and increasing resilience and emotional intelligence across individuals and teams.
In the past, Skye has served in executive and leadership roles including overseeing the creation and management of digital Centers of Excellence in Oncology & Cardiovascular Health & working with more than 500 hospitals & health plans across the U.S. to improve patient outcomes through the strategic use of evidence-based technology solutions.
Skye has appeared on The Today Show to discuss her work in cultural diplomacy, has conducted numerous workshops, and has published more than 100 articles on AI technologies, bias, emotional intelligence, risk communications, and other topics. She has also guest lectured on applying behavior science, building personal & organizational resilience, promoting DEI & cultural diplomacy, & improving global public health.
In her spare time, she is an artist and avid user of VR and AI technologies, as well as serving on the Programming Board for StartOut, a non-profit supporting LGBTQ entrepreneurs and founders. Skye is also currently part of a program focused on AI and Business Strategy at the MIT Sloan School of Management and CSAIL—their Computer Science and Artificial Intelligence Lab.
About Diversity Reboot Summit
Join us for an enlightening virtual summit where we delve into the profound influence of artificial intelligence and the latest tech advances on various aspects of modern organizations.
As AI continues to shape the future of work, it is crucial to understand its implications beyond the headlines. This summit aims to explore the multifaceted impact of AI on hiring practices, the workplace environment, DEIB and much more. Key topics to be explored at the summit include:
- AI in Hiring: Discover how AI technologies are transforming traditional recruitment processes, from resume screening and candidate assessment to predictive analytics and bias mitigation. Learn about the benefits, challenges, and potential risks of AI-driven hiring practices.
- The Evolving Workplace: Explore how Generative AI is reshaping the workplace landscape, from automation and augmentation of tasks to the creation of more efficient and collaborative environments. Understand the implications for job roles, skill requirements, and workforce dynamics.
- DEIB and Bias: Examine the role of AI in fostering diversity, equity, and inclusion (DEI) within organizations. Explore the potential for AI to identify and eliminate bias in decision-making processes, as well as the challenges and ethical considerations associated with deploying AI in DEIB initiatives.
- Ethical AI: Delve into the ethical dimensions of AI implementation and usage. Discuss the importance of transparency, fairness, accountability, and privacy in AI systems. Gain insights into best practices for responsible AI adoption to ensure equitable outcomes.
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