Machine learning is changing the way we do everything: decide who is credit worthy, who should be freed from prison, which children are at risk of abuse and who should see which news. But machine learning comes with trade-offs. In this keynote, examine how machine learning will reshape business strategy, examine the ethics and politics of using machine learning to make important decisions and use case studies to explore how regulation may change the nature of business strategy.

1. AI, Decisions, and
Business
Josh Simons
Harvard University

2. Overview
1. Introduction
2. Regulatory and Ethical Challenges
3. Using AI in Business
4. Wrap Up

3. (1) Introduction: What is Machine Learning?

4. (1) What is machine learning?

5. (1) What is machine learning?
A powerful decision-making tool
that uses vast quantities of data

7. (1) What is machine learning?

8. (2) Regulatory and Ethical Challenges: Fairness

9. (2) Challenges: Fairness

10. (2) Challenges: Fairness

11. (2) Challenges: Fairness

12. Case Study

13. (2) Regulatory and Ethical Challenges:
Accountability

14. (2) Challenges: Accountability

15. (2) Regulatory and Ethical Challenges: Privacy

16. (2) Challenges: Privacy

17. Case Study

18. (3) Using AI in Business

19. Activity: Make Your Business
1. Define your business
2. Identify and describe (at least) three possible uses
of machine learning.
3. Apply the three challenges: Fairness,
Accountability, Privacy to the most interesting use
of ML.
4. Prepare short (3-4 minute) presentation explaining
1-3.

20. (4) Wrap Up

21. (4) Wrap Up: Brand Matters

22. (4) Wrap Up: To Automate or Not to Automate?

23. (4) Wrap Up: Know Yourself

24. (4) Wrap Up
"Computers may be intelligent, but they
are not wise. Everything they know, we
taught them, and we taught them our
biases. They are not going to unlearn
them without transparency and corrective
action by humans."