AI holds incredible promise to improve virtually every aspect of our lives, but we can’t ignore its risks, mishaps and misuses. Juliette Powell offers seven principles for ensuring that machine learning supports human flourishing. She draws on her research at Columbia University and a wealth of real-world examples.
These four principles relate to AI systems themselves:
- Human risk must be rigorously determined and consciously included in any design process.
- AI systems must be understandable and transparent to any observer, not just the engineers working on them.
- People must be allowed to protect and manage their personal data.
- The biases embedded in AI must be confronted and reduced.
These three principles pertain to the organizations that create AI systems:
- There must be procedures in place to hold them accountable for negative consequences.
- Organizations need to be loosely structured so that problems in one area can be isolated and resolved before they spread and sabotage the whole system.
- There must be psychological safety and creative friction, so that anyone involved in software development can bring problems to light without fear of reprisal.
Powell explores how to implement each principle, citing current best practices, promising new developments, and sobering cautionary tales. Incorporating the perspectives of engineers, businesspeople, government officials, and social activists, she helps us realize the unprecedented benefits and opportunities AI systems can provide.
As an expert at the intersection of technology, business, and ethics, Juliette Powell has advised large audiences on how to deal with the accelerating change that is underway due to AI-enabled technological innovation, shifting social dynamics, and heightened global competition.
The move to digital transformation is accelerating for all of us, for some it is happening faster than others. In this presentation, Juliette identifies 3 trends that all businesses must pay attention to as we continue to discover and shape what the future of work will look like post-pandemic.
Whether you’ve already embraced AI tools or you’re wanting to get back to the way things used to be, you need clear ethics, risk management strategies, and flexible business models to adapt to ongoing transformation.
- How to build a flexible business model for uncertain times.
- How to establish ethical principles around the use of AI and data.
- Ways to apply Actionable intelligence.
With a life’s mission to find meaning in our digital lives, Juliette Powell is the curator of We The Data and acted as field researcher interviewing experts to seed the Vibrant Data Project. Author of 33 Million People In The Room (Financial Times Press) and co-founder of The Gathering Think Tank, Juliette identifies the patterns of successful leaders who bank on data and social technology to win.