Ethical AI is an organizational duty. Leaders and Stakeholders, like AI Ethicists and Engineers, are required to participate in responsible AI implementations.
Consumers and investors expect organizations to follow the tenants of ethical AI as part of their use of data driven technologies. Yet 90% of organizations are aware of at least one instance where an AI system had resulted in ethical issues for their business.* In addition, only 53% of organizations have a leader who is responsible for the ethics.* With the advent of global regulatory policies, potential loss in consumer trust and revenue, organizations need a culture, led from within which demonstrate an understanding of ethical principles and drive the application of those principles in technology. DEBIZ empowers professionals to identify sources of ethical risk, and move beyond transparency to understand all ethical principles while balancing business considerations of ethically driven technology.
* AI-and-the-Ethical-Conundrum-Report CapGemini 2020
Exam Details
| Exam Codes | DEB-110 |
| Launch Date | October 2021 |
| Sunset Date | TBD |
| Target Candidate | The Data Ethics for Business Professionals (DEBIZ) exam is designed for individuals who are seeking to demonstrate an understanding of ethical uses of data in business settings. The exam is open to new and established professionals seeking to learn more about data ethics in the modern business world. |
| Exam Description | A Data Ethics Business Professional is an individual who has demonstrated foundational knowledge of the ethical use of data in emerging technologies in a business context consistent with the DEBIZ Job Task Analysis. A credential holder is able to identify, explain, and document how organizations identify ethical principles and considerations, understand sources of risk, and explain how businesses can create sustainable, ethical decision-making processes. |
| Number of Items | 25 |
| Item Formats | Multiple Choice/Multiple Response/True-False |
| Exam Duration | Estimated 20-45 minutes, candidates may retake as many times as desired |
| Exam Options | Online via the CHOICE LMS |
| Passing Score | 80% (20 of 25 Items) |
DEB-110 Contributors
| Shea | Brown | BABL AI | https://www.linkedin.com/in/shea-brown-26050465/ |
| Jordan | Famularo | NYU | |
| Kevin | Fumai | ||
| Merve | Hickok | AIethicist.org | https://www.linkedin.com/in/mervehickok/ |
| Christine | Jakobson | University of Cambridge | https://www.linkedin.com/in/christine-jakobson/ |
| Sebastien | Krier | https://www.linkedin.com/in/sebkrier/ | |
| Sundaraparipurnan | Narayanan | ||
| Ryan | Welsh | Kyndi | https://www.linkedin.com/in/jryanwelsh/ |
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