Ethical AI

Machine Learning can automate pattern finding to assist human decision making, but sometimes it uncovers known and unknown biases in problem framing, data collection, data processing, and the application of modeling results.  Resolving these problems in a fair and trusted way is at the heart of Ethical AI.

This mission explores ethical considerations in the model development life cycle.  This increased awareness will help you to address a variety of ethical issues such as fairness, transparency, and labor displacement in your projects. You will take away a framework for identifying ethics-related risks and to inform the creation of an ethical AI policy for model use and governance.

This mission uses a seminar format and assumes no previous knowledge or experience with AI.

Format and duration: virtual instructor-led, hands-on, 3.5 hours

By the end of this mission, you will be able to:

• Identify common areas of ethical risk in the use of AI
• Examine your problem framing for potential ethical issues
• Weigh different definitions of fairness (individuals or groups) for applicability
• Select appropriate measures of success for your models
• Determine which protected or sensitive data types to use or avoid
• Assess modeling data for undesired bias, including unintended proxies
• Evaluate model transparency and interpretability
• Consider governance and policy issues around process, documentation, disclosure, and responsibility

 Who should complete this mission?

This mission is intended for anyone who has an interest in the ethical considerations of AI.

 Technical requirements

• Chrome browser
• The latest version of Zoom

 Completion requirements

Upon completing this mission, you will receive a Certificate of Completion. Attendance of the instructor-led session and class participation are required for mission completion.

Please use this time zone conversion tool to find a session that works best for your schedule and time zone: worldtimebuddy.com

PST/PDT: Americas/Pacific (San Francisco/Seattle) 
EST/EDT: Americas/Eastern (Boston/New York/Washington DC)
GMT/BST: Europe/UK (London) 
SGT: Asia/Singapore (Singapore)
AEST/AEDT: Australia/Eastern (Sydney/Melbourne)    

Important Note

To ensure participants are properly configured and enabled across our internal systems, session registration closes 2 business days prior to the start of the session. Please refer to our Education Services Policies for additional info.

Not seeing a session in your time zone?  Let us hear from you! Please share your interest in this course by sending us an email at dru@datarobot.com.  Be sure to include your location!