Meet our SXSW panelists – Jason Oxman
By Adam Curtis
On March 9th, Catalyte is moderating a SXSW panel discussion, “AI and the Democratization of Work.” In preparation for the talk, we are profiling each panelist and getting their take on a couple of questions related to the topic.
Meet our panelist, Jason Oxman. Jason is president and CEO of the Information Technology Industry Council (ITI), the global voice of the tech sector. He has more than 20 years of experience as a globally recognized leader in technology advocacy.
Here’s what he had to say about how AI can remove subjective bias from the hiring process and create a more diverse and productive workforce.
Q: How can AI-based hiring live in conjunction with growing push for consumer data privacy and ownership?
Innovation is driven by trust. As long as we do everything we can to deepen that trust among consumers, specifically by increasing transparency and giving individuals more control over their personal data, we can continue to deliver the innovations consumers and businesses demand.
As many promising uses of AI rely on personal data, responsible use of data is key. AI use will have to respect existing laws around data protection and privacy. In addition, it is important for developers, users and regulators to incorporate privacy considerations in their approach to the technology.
Q: Does the rise of AI-based hiring mean that we need new regulations?
First and foremost, we should be careful in avoiding new rules for every new technological development. Changes in technology don’t negate current laws in the hiring process, and those laws still apply and must be enforced. Given the rapidly evolving nature of AI technology, regulation is difficult and prone to becoming obsolete quickly. However, governments, communities and industry must work together to figure out how we can deploy AI in a responsible way and address negative consequences in its use, for example by looking at international, voluntary standards as a way to form a bridge between written rules and practical implementations.
While the potential benefits of AI development are enormous, it is impossible to fully predict the future impact. Stakeholders globally recognize they must find ways to mitigate bias, inequity, and other potential harms in automated decision-making systems. We share the goal of responsible AI use and development. As technology evolves, we take seriously our responsibility as the tech enablers of an AI world, including seeking solutions to address potential negative externalities and helping to train the workforce of the future.