Author Colin Priest

AI impact assessments are more than black and white compliance documents. Read more about AI Impact Statements - empathy, imperfection, and responsibility.

Although too many stories of embarrassing AI failures are about unfair bias, there’s a more common but less recognized barrier to AI-driven success—many AI systems were not designed for resilience in a world that keeps changing. Learn more.

It’s safe to say that most data science fails are inadvertent rather than malicious. A deep dive case study into several high profile AI failures revealed a common narrative: people meant well but they didn’t stop to think what could go wrong. Their lack of AI governance inevitably led to embarrassing failures.

AI has been making front page news and not always for the right reasons. High profile AI failures have included sexist hiring algorithms and racist healthcare programs. But AI failures aren’t limited to ethical lapses. How can we avoid AI impact statements becoming another administrative compliance burden?

AI Impact Statements are rapidly becoming the tool of choice for thinking about whether an AI-driven solution will deliver business value, operate safely and ethically, and align with stakeholder needs.

Humans and AI: Bargaining Power. Read more in Colin Priest's blog post and learn how will the need for control affect the success of digital transformation and organizational change.

The topic of artificial intelligence can be very divisive. Some people think that AI is going to help us to solve new problems. There's another school of thought that believes that AI might one day turn against us.

There’s a saying, “If you can’t say something nice, don’t say anything at all.” Is there too much hype about AI or too much doomsaying? AI Hype In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. Banjo claimed to use software that automatically detected…