If the developers who identify the data to be used for training an AI system aren't looking for bias, how can they prevent an ethical dilemma? For example, suppose a company has historically hired more men than women. In that case, a bias is likely to exist in the resume data. Men tend to use different words than women in their resumes. If the data is sourced from men's resumes, then women's resumes may be viewed less favorably, just based on word choice.
While each company is addressing these principles differently, we can learn a lot by examining their commonalities. Here are some fundamental principles they address.
While these tech giants are imperfect, they are leading the way in addressing ethical AI challenges. What are your board and senior management team doing to address these issues?Make the ethics of AI a board-level discussionEnsure senior executives understand how and where AI-based systems are being considered and implementedBy addressing these issues now, your company will reduce the risks of having AI make or recommend decisions that imperil the company.
Ethics are questionable in all digital platforms. Those with critical minds don't have any confidence in big tech corporations that in evident terms count with power exercise that is above governments.
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【Fairness: AI systems should treat all people fairly and avoid creating or reinforcing unfair bias】Well said, but what if my 1st AI is a male vegetarian asian gay, and my 2nd AI is a transgender African muslim which has American nationality? Which is 'ethincally more correct'?
A much awaited move. Finally we got to see the big giants coming together to handle and address some of the most critical and challenging issues in this space.
Do we know what we mean ... by the *I* in AI?
Don't tell anyone you know me