Look at a list of the top companies in the world, and most are focused in the United States, China, and Europe, and this causes an imbalance of investment in AI. With most companies building AI infrastructure and applications located in Silicon Valley and similar areas, how will the rest of the world catch up? Sofia Trejo joins Chris Grundemann and Stephen Foskett to discuss the implications of this imbalance, which causes an AI divide. Companies like Facebook, Google, and Amazon increasingly centralize global data through their internet access initiatives, and all are also deeply involved in developing cloud and AI applications. This poses issues for developing countries, which are increasingly dependent on these companies and susceptible to disinformation and misinformation campaigns. Most discussions of bias focus on a first-world context and do not take into account the challenges faced by developing countries, and the same is true of AI development. We must stop thinking that the solution is technological and focus instead on education and digital literacy before AI gets out of control.
Three Questions
- Is it possible to create a truly unbiased AI?
- Can you think of any fields that have not yet been touched by AI?
- Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future?
Guests and Hosts
- Sofia Trejo, Ph.D. in Mathematics, Specialist in AI Ethics. Connect with Sofia on LinkedIn.
- Chris Grundemann, Gigaom Analyst and Managing Director of Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com and on Twitter at @ChrisGrundemann
- Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett
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