As we navigate the complexities of 2025, global markets remain fraught with uncertainty, from geopolitical tensions and supply chain disruptions to rapid shifts in consumer behaviour and economic policies.
While AI cannot completely remove bias, it can reduce it in several ways. Developers train models on diverse and representative datasets, apply fairness-testing procedures and create accountability in the systems so to recognize and address biases.
Ultimately, it’s about combining human oversight and technical accountability, meaning the continued audits of AI systems, explaining the decision-making process for the models and improving the datasets to improve the bias in AI systems.
Regarding this, how will AI address bias? Very insightful.
Fantastic question!
While AI cannot completely remove bias, it can reduce it in several ways. Developers train models on diverse and representative datasets, apply fairness-testing procedures and create accountability in the systems so to recognize and address biases.
Ultimately, it’s about combining human oversight and technical accountability, meaning the continued audits of AI systems, explaining the decision-making process for the models and improving the datasets to improve the bias in AI systems.
So hopefully the bias will be minimized!