The Long, Long Road to Ethical AI

R. Bhattacharyya

Summary bullets:

• The preeminent ethical concerns used to be the loss of jobs due to AI, bias, or applications of facial recognition, but the ethical debate has become more complicated.

• Even though AI has been around for years, the AI and ethics conversation is just getting started; increasing awareness and education, as well as broadening the types of participants involved in the conversation, are foundational first steps.

Organizations are eager to leverage the insights provided by AI to streamline operations, enhance productivity, generate new business, and personalize customer experience. Several companies have already deployed the technology, or are at least experimenting with it, and are now looking to scale AI by rolling the technology out to a broader user base and additional departments. But as AI becomes more widely used, many companies are unclear about how to best navigate the murky waters of AI and ethics. No organization wants to risk the public relations fiasco that would ensue should it be determined that the AI algorithms it uses yield biased results against a specific demographic, or are being applied a way that is not in line with corporate ethics policies.

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