Aligning AI with corporate ethics and values allows companies to change the way employees think about using the technology paid intel
, 93% of consumers say companies have a responsibility to positively impact society. Businesses are being held more accountable than ever for what they do and how they behave.
We need these conversations because using AI without an ethical framework isn’t like making a single mistake. If training data is biased, mistakes will be compounded as the algorithms continue to “learn” from flawed data, and the potential for repeatable offenses is greater—such as automated decisions and predictions that could affect a person’s chance of getting a loan or could fail to diagnose illness or disease. Companies must consider the interplay of AI, trust, and culture.
An important place to start in building ethical frameworks for AI is documenting data sources and assessing how people could be impacted by AI applications at all stages of development. At Salesforce, one group of engineers has updated their agile development process checklist to include ethical questions such as, “How will people be impacted by this tool?”
For example, we scheduled an internal hackathon recently where data scientists and engineers were planning to train AI models for emotion detection. They discovered, however, that the training data was based on stock images of human faces that didn’t represent an accurate cross-section of ethnic diversity. So engineers went back to find a more multi-ethnic data set for training the models.
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