Certified Ethical Emerging Technologist

SEEKING TO APPLY DATA ETHICS?

The Certified Ethical Emerging Technologist™ (CEET) is designed for individuals seeking to demonstrate a vendor neutral, cross-industry, and multidisciplinary understanding of applied technology ethics that will enable them to navigate the processes by which ethical integrity may be upheld within emerging data-driven technology fields (such as artificial intelligence (AI)/machine learning, Internet of Things (IoT), and data science).

The CEET Professional Certificate on Coursera is comprised of five courses. You can take all five to prepare for the CEET certification and a career in data ethics or select any course(s) based on your individual needs. We have provided links below to enroll for each of the courses on Coursera or click the button above to enroll for all five.

  • Promote the Ethical Use of Data-Driven Technologies – Enroll
  • Turn Ethical Frameworks Into Actionable Steps – Enroll
  • Detect and Mitigate Ethical Risks – Enroll
  • Communicate Effectively about Ethical Challenges in Data-Driven Technologies – Enroll
  • Create and Lead an Ethical Data-Driven Organization – Enroll

Register for this Course

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EXAM DETAILS

Exam Codes CET-110
Launch Date October 2020
Sunset Date TBD, typically 3 years from launch date
Target Candidate This certification exam is designed for individuals seeking to demonstrate a vendor neutral, cross-industry, and multidisciplinary understanding of applied technology ethics that will enable them to navigate the processes by which ethical integrity may be upheld within emerging data-driven technology fields (such as artificial intelligence (AI), Internet of Things (IoT), and data science).
Common Job Titles
  • Policy, Compliance, Regulatory, Governance Lead/Manager or Officer
  • Data Analyst
  • Data Scientist
  • Data Architect
  • Data Engineer
  • Business Analyst
  • AI Engineer
  • Machine Learning Developer
  • Product Manager
  • UX Designer
  • Technology Consultants
  • Data Protection Officer
  • Quality and Risk Management Lead
  • Software Systems Architect
  • Software Solutions Architect
  • System Administrator
  • Security Analyst
  • Procurement Officer
  • Public Relations/Communications Manager
  • Management Consultants
  • Data Journalist
Exam Description This exam will certify that the successful candidate has the knowledge, skills, and abilities required to apply foundational ethical principles, follow industry-standard frameworks, identify and mitigate risks, and navigate ethical organizational governance in order to devise and maintain ethical, trusted, and inclusive data-driven technologies.
Number of Items 80
Item Formats Multiple Choice/Multiple Response
Exam Duration 120 minutes (including 5 minutes for Candidate Agreement and 5 minutes for Pearson VUE tutorial)
Exam Options In person at Pearson VUE test centers or online via Pearson OnVUE online proctoring
Passing Score 62%

CET-110 CONTRIBUTORS

  • Renée Cummings, Criminologist / Artificial Intelligence Ethicist / Diversity, Equity and Inclusion Specialist
  • Oriana Medlicott, AI Ethics Strategist / Ethical Intelligence Associates
  • Jennifer L. Fischer, Adjunct Professor, Digital Ethics and Executive Director, Business Development & Learning at the Center for Innovation / Felician University
  • Ryan Jenkins, Associate Professor of Philosophy / California Polytechnic State University (CalPoly) and Director of Ethics and Policy / WhiteFox Defense Technologies, Inc. and Senior Associate / Principia Advisory
  • Dr. Ansgar Koene, Director / Evolution of Mind, Life and Society Research Institute (EMLS RI)
  • Eleanor ‘Nell’ Watson, Chair / IEEE ECPAIS Transparency Experts Focus Group
  • Joris Krijger, AI & Ethics Specialist / de Volksbank (NL) and PhD AI Ethics / Erasmus University Rotterdam
  • Rebecca Krauthamer, Founder / Quantum Though
  • Tania De Gasperis, MDes: Strategic Foresight and Innovation / Ontario College of Art and Design (OCAD) University and AI Ethics Researcher / Montreal AI Ethics Institute
  • Abhishek Gupta, Founder / Montreal AI Ethics Institute and Software Engineer – Machine Learning / IBM
  • Aaron Hui, AI Ethics Instructor / University of California, Los Angeles (UCLA) and Founding President / The AI Robotics Ethics Society (AIRES)

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