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You probably dislike lawyers—almost everyone does—but don’t hate the law. Many people in business view lawyers and legal controls as a hindrance, a drag on their profitability, or, as they say in Silicon Valley, “our creativity,” but the law is your friend. It’s what keeps us free.

If you don’t believe us, go start a subsidiary in Russia. There you will find corruption everywhere, an unfree judiciary, and crime as the norm. Law enforcement is to be feared and avoided at all costs. Choose your mafia partner wisely.

Legal control supports business control. Early, sound legal controls help to prevent technology train wrecks, including those caused by AI. And the sad truth is that those wipeouts lead to yet more regulations, many of them difficult and ineffectual. Businesses end up burdening themselves through not following the rules in the first place. It’s a vicious cycle, but you can avoid it with compliance built in from the get-go.

If you comply with the law as you adopt your AI system, you will have a kind of insurance policy against a wide variety of internal disasters and crippling lawsuits. (You will learn more about this from Joshua in chapters 5 and 6.)

The afterword in this book is a special chapter on “AI ethics.” Attention to ethical considerations can keep lawyers away and you out of all kinds of trouble. Ethics and the law go hand in hand. These days, public and private institutions have commissions, committees, boards, task forces, point people, and so on, all working on ethics for AI. And they should! While ethics lack the law’s teeth and are not in a position to command compliance, ethical discussions about what is right and wrong, what is appropriate and inappropriate, good and bad, should inform legislators in their work to order the state, society, and economy. Ethics should inform every worker in every organization, as well. You need to consider human rights, privacy, and stakeholder interests.

Putting people at the forefront of AI adoption, not the algorithms, helps your business succeed. People in business and government need to evolve and adapt their thought to meet the challenge of AI’s data-processing capabilities. Reject the myths, hold fast to the rules, compete to survive and succeed, and stay human. We need to start with healthy skepticism, maintain humility, and consider our neighbor throughout. This mind-set will produce better outcomes. Humanize your AI.

1.

J. McCarthy, M. L. Minsky, N. Rochester, and C. E. Shannon, “A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence,” August 31, 1955. Last modified April 3, 1996. http://www-formal.stanford.edu/jmc/history/dartmouth/dartmouth.html.

2.

According to his best-selling, autobiographical book about AI and great power politics: Kai-Fu Lee, AI Superpowers: China, Silicon Valley, and the New World Order (Boston: Houghton Mifflin Harcourt, 2018), ch. 7.

3.

See Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (Oxford, England: Oxford University Press, 2014).

4.

http://norman-ai.mit.edu/.

5.

Mariya Yao, “Beyond Backpropagation: Can We Go Deeper than Deep Learning?” Topbots, November 9, 2017. https://www.topbots.com/deeper-than-deep-learning-beyond-backpropagation-geoffrey-hinton/.

6.

Matthew Herper, “MD Anderson Benches IBM Watson in Setback for Artificial Intelligence in Medicine,” Forbes.com, February 19, 2017. https://www.forbes.com/sites/matthewherper/2017/02/19/md-anderson-benches-ibm-watson-in-setback-for-artificial-intelligence-in-medicine/#3175068f3774.