The Ethical Implications of Artificial Intelligence and Machine Learning in HR: How Can CHROs Respond?
Original Air Date: 11/5/2020
Artificial intelligence (AI) and machine learning (ML) are now embedded in our daily lives; whether it’s in the selection of films recommended by your preferred streaming service or a list of suggested featured products to buy in your online shopping carts. The use and expansion of AI capabilities has been growing exponentially, with a deep investment in the emerging technology alone increasing 15-fold in five years. This trend suggests that organizations have high expectations for emerging technologies to help maximize output, profitability, labor productivity, and engagement. However, this rapid growth trajectory may also undermine the unintended risks involved in using them. On one hand, there is a consensus among HR practitioners that emerging technologies such as AI and ML have the potential to help increase productivity, reduce human bias, and improve accuracy in workforce predictions. On the other hand, the latest research suggests that there is also a growing concern about the ethical, legal, and lack of transparency behind AI and ML tools.
The question then becomes – What can HR Leaders do to address and alleviate these concerns while leveraging these emerging technologies effectively? Join this webcast to learn from Fabio Fukuda, Vice-President of HCM Transformation at Oracle and a researcher of the application of AI in Human Resources, on how organizations can take a more human-centric approach when it comes to AI and ML tools.
