🎧 Excited to share my recent conversation with George Little on the "George on People Analytics" podcast.

In this insightful episode, we dive deep into the intersection of technology, behavioral science, and talent acquisition.

Here are a few takeaways you'll gain from tuning in:

🤖 Understanding AI's Role in Recruitment: We discuss the critical balance of AI and human judgment in recruitment processes, highlighting the importance of ethical and thoughtful application of technology.

🧠 Mitigating Human Bias: Learn about how our Interview Intelligence Informed Decisions, leverages continuous feedback and data analytics to mitigate interviewer biases and enhance decision-making in hiring.

🔍 Practical Insights on Interviewing: We explore actionable strategies to improve interviewer performance, reduce biases, and ultimately, make more data-driven and fair hiring decisions.

📊 Measuring the Quality of Hire: Discover how to use multiple data points and criteria to evaluate the success of your hires, enhancing the precision and effectiveness of your talent acquisition strategy.

A special thank you to George Little for his thoughtful questions and the opportunity to discuss how responsible technology can transform talent acquisition.

🔗 See link to the podcast:

https://peopleanalytics.buzzsprout.com/2034959/14985900: untitled post 2502

Whether you're in talent acquisition or people analytics, this episode is packed with valuable insights on using technology to enhance hiring processes responsibly. Looking forward to hearing your thoughts and experiences!

#TalentAcquisition #EthicalAI #Interviews #PeopleAnalytics

Using Generative AI to screen CVs? 

A recent Bloomberg analysis shines a light on a pressing concern: inherent racial bias in AI evaluations. This study rigorously tested OpenAI's GPT 3.5 by ranking resumes, revealing a systematic preference for certain names over others. 

Specifically, resumes with names commonly associated with Black individuals were consistently ranked lower, exposing a significant racial bias that challenges the notion of AI as a neutral party in hiring.

This finding underscores the urgent need for businesses and HR professionals to critically evaluate the AI tools they integrate into recruitment processes. 

It's a call to action for a mindful approach in deploying AI technologies, ensuring they foster diversity rather than inadvertently perpetuating bias.

As we strive to make hiring more efficient, let's also commit to making it fairer. 

Dive deeper into the research and its implications in the full article linked in the first comment, and join the conversation on using AI responsibly in the workplace.

Link to full article:

https://www.bloomberg.com/graphics/2024-openai-gpt-hiring-racial-discrimination/?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTcwOTg1NjE4NCwiZXhwIjoxNzEwNDYwOTg0LCJhcnRpY2xlSWQiOiJTQTA1Q1FUMEFGQjQwMCIsImJjb25uZWN0SWQiOiI4QkY3REVFODZERTk0QjdEOEVDRDA1OEQ4RUJDQzAzMyJ9.q4dHdWWVcJO9PMKhwQ-IF5BfvVNVmPAX8hWNyrtwSYY

#ethicalAI #recruitment #informedecisions

Will AI Create More Jobs Than It Will Eliminate?

Excited to share an enlightening article by @Suzanne Lucas on @ere.net, titled "Will AI Create More Jobs Than It Will Eliminate?" where I had the pleasure of contributing.

🔍 The piece delves into the dual nature of AI in the job market. While it's often viewed as a job eliminator, AI is equally a job creator. For instance, Apple's expansion in the UK focuses on AI-dedicated staff. Similarly, Amazon is heavily investing in AI, indicating a growing need for human expertise in managing these technologies.

🚀 Notably, I shared insights on Amazon's discontinued AI recruiting tool, underscoring the challenges of gender bias in AI. The tool, developed from a decade of male-dominated resumes, favored male candidates, highlighting the need for diversity and ethical considerations in AI development.

📈 With Credit Suisse projecting the AI software market to reach $1.09 trillion by 2030, the demand for skilled professionals in AI, semiconductor, and related industries is undeniable. This shift is comparable to the transformative impact of automobiles on employment, necessitating changes in hiring, training, and employee expectations.

💭 The future of AI in hiring is still unfolding, but with current investments in AI surpassing $142 billion, the trajectory is clear: a significant increase in AI-related jobs is on the horizon, with over 30,000 machine learning and 28,000 AI jobs currently listed.

🔗 [Read the full article]

#informedecisions #EthicalAI #FutureOfWork