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One of the main constraints to AI development by 2028 will indeed revolve around navigating the ethical and regulatory landscape. As AI systems become more integrated into critical sectors like healthcare, finance, and even autonomous transportation, developers and organizations will face mounting pressure to ensure that these technologies are transparent, explainable, and fair.
For example, mobile banking apps that leverage AI for personalized services or fraud detection, like the ones developed by Nimble AppGenie (https://www.nimbleappgenie.com/solutions/banking-app-development), must adhere to stringent guidelines to avoid bias and protect user data. In addition, the increasing need for unbiased, high-quality datasets presents a challenge, as the availability and management of such data are critical for accurate AI models. Balancing rapid innovation with ethical responsibility will likely define the trajectory of AI development in the coming years.