AI Dilemma: 7 Principles for Responsible Technology

"The misuse of AI has led to wrongful arrests, crashed airplanes, even genocide-this book offers 7 powerful principles that businesses can use now to end the harm. Cambridge Analytica, the Boeing 737 Max crash, Facebook's role in the Rohingya genocide-AIis increasingly implicated in serious abuses, misuses, and misfires. The technology stands accused of systematically doing harm without accountability. Drawing on research at Columbia University and Intel Labs, and illustrated with dozens of real-world examples, this book offers 7 principles for harnessing the power of AI to help humans flourish: 1. Be Intentional About Risk- Use cost-benefit analysis to make sure short-term gains don't put others-or your reputation-at risk; 2. Open the Closed Box- Enable every stakeholder to understand the logic and provenance of AI systems; 3. Reclaim Data Rights for People-Empower everyone to control their personal data; 4. Favor Loosely Coupled Architecture- Redesign AI teams and organizations to promote diverse thinking and flexible responses; 5. Confront and Question Bias-Ensure that algorithmic outcomes are ethical and fair to everyone affected by them ; 6. Hold Stakeholders Accountable- Resolve the impediments that keep technology from being regulated effectively; and 7. Embrace Creative Friction- Create an environment of trust, thoughtfulness and psychological safety to bring responsible AI into the future. This is a straightforward guide for business leaders, technologists, regulators and concerned citizens seeking to realize the promise of AI"--
The misuse of AI has led to wrongful arrests, denial of medical care, even genocide—this book offers 7 powerful principles that business can use now to end the harm.AI holds incredible promise to improve virtually every aspect of our lives, but we can’t ignore its risks, mishaps and misuses. Juliette Powell and Art Kleiner offer seven principles for ensuring that machine learning supports human flourishing. They draw on Powell’s research at Columbia University and use a wealth of real-world examples.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.The final 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. Finally, there must be psychological safety and creative friction, so that anyone involved in softwaredevelopment can bring problems to light without fear of reprisal.Powell and Kleiner explore 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, this book will help us realize the unprecedented benefits and opportunities AI systems can provide.