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AMBP-L™ Certification
Introducing the Artificial and Machine Bias Prevention – Leader (AMBP-L)™ Certification for AI Bias Solutions & Ethical Technology Development
Quick Links
- Algorithmic Bias
- Competencies
- Exam Process
- Eligibility
- Course Objectives
- Schedule
- AMBP-L™ Fees
- Policies
- Recertification
AMBP-L™ Program Introduction
In previous generations, algorithmic workflows and automated decisions were made without considering user nuances, or the unfair outcomes that could dramatically impact different identity groups. This method of design is outdated.
Artificial intelligence (AI) and machine learning (ML) are the future. In order to balance this perspective, the future also entails developing applications for different users, with varying behaviors, expectations, attitudes, and needs (BEANs). Smart learning design requires understanding the nuances between these diverse groups, as well as thinking through the inadvertent implications of algorithmic calculations, data processing, automated reasoning, and decision making on unique users. Design elements should also include accessibility.
The next generation of AI will deliver innovations that incorporate both big ideas and technology for social good. Yet there are limitations, as well as ethical challenges, related to advanced technologies. While machines can perform many tasks, both of these issues must be addressed with human-centered solutions. Currently, there is a social impetus to utilize AI for a higher purpose—one that is aligned not only with an organization’s values but its purported benefits to society over the long-term.
This means that sustainability, or enduring success, is inextricably tied to forward-thinking and proactive firms who have a bold vision for the future. Addressing issues such as bias is not a reactive solution for these firms, where a fix or patch is developed later. From a competitive perspective, fixes and patches waste valuable resources such as time and money. It also decreases the application’s value to society’s different users.
IDC proposes an ethical, proactive solution that is designed to prevent unfair outcomes: The Artificial and Machine Bias Prevention – Leader (AMBP-L)™ Certification.
What is AI Bias?
AI bias describes systematic and repeatable errors in a computing system that creates unfair outcomes or allows one group of users to experience privileges over others.
In his 1976 book, Computer Power and Human Reason, artificial intelligence pioneer, Joseph Weizenbaum suggested that bias could arise both from the data used in a program, as well as from the way a program is coded. It can also emerge because the design phase prioritized technical development and/or user engagement over ethical considerations. Since then, the problems with bias in algorithms and machine learning have been extensively documented in the Harvard Business Review, the Brookings Institute, Forbes, Fortune, Medium, Tech Crunch, AI Business, MIT Technology Review, McKinsey Reporting Insights, CNBC, the New York Times, and more.
Preventing, correcting, and/or removing AI bias is not easy. Presently, most companies quietly retire a product that has algorithmic errors—in hopes the media does not find out. However, IDC developed a solution that provides the necessary subject matter expertise and skill to help companies understand how bias can manifest, as well as what to do to prevent or remove it.
About the AMBP-L™ Certification System
IDC’s Artificial & Machine Bias Prevention - Leader (AMBP-L)™ program enhances enterprise value by bridging the future of technology with concerns about fairness, transparency, justice, trust, and ethical standards.
This certification system demonstrates that leaders are employing a holistic process to identify, prevent, correct, and/or remove bias from innovative technologies. Most importantly, every tool you need to prevent and/or remove AI bias is available in one resource. From examples and illustrations, to knowledge and skills, the AMBP-L™ Certification is just as unique as your technology.
As more companies adapt new algorithmic methods, robots, and machines, the AMBP-L™ program applies a systematic and repeatable process to remove AI bias that was programmed, and/or iterated itself, in an enterprising system. The AMBP-L™ program is also designed to make the process of purchasing Artificial Intelligence (AI), Biometric Technology, and Large Language Models (LLMs) more transparent to buyers, who have a social and ethical responsibility to understand whether a system is inherently flawed with unfair outcomes. Beyond assumptions that a system will or will not potentially cause harm to diverse users, the AMBP-L™ applies a data-driven process to monitor, assess and evaluate bias infiltration on an ongoing basis.
The AMBP-L™ certification is a distinct track. The content for the certification was developed through a unique partnership between diversity and AI technology experts, and features the competencies outlined below.
AMBP-L™ Competencies
- Types of Bias, Triggers, and Stereotypes
- The Business Case for Debiasing AI, XR, and ML Applications
- Linguistic Bias and Language Processing
- Design Flaws and Filter Biases
- Solving for Fairness
- Removing Biased Coding Elements and Data Sets
- Analyzing Discriminatory Trends
- Diverse Teaming Models for User Acceptance Testing – UAT
- Processes for Resolving Ethical Dilemmas and Setting Team Standards
- Measuring Anti-Bias Accuracy Levels
Certification Exam Process
The assessment process consists of two components, and all Candidates must pass both portions. Knowledge, skills, and abilities will be assessed through an exam and a simulation.
A high-stakes, 100-question knowledge exam.
A gamified simulation where users will be responsible for removing biased data/elements, determining where bias is manifesting itself, and/or evaluating whether biased codes have been removed.
Candidates have one year from the date of registration to pass both portions of the exam in the CourseNetworking Learning Management System (the CN).
The exam cut score is 80.0% for both components of the assessment. Candidates may take the computer-based, proctored test using an electronic device at home or work. The total test time is two and a half (2.5) hours. Candidates who require an accommodation may request an extended time test.
Exam Eligibility
Founders, AI Executives, and Tech Professionals
3 years of experience in data science, coding, programming, developing, UX design, QA testing, and/or serving as a start-up founder and/or AI executive
Procurement and Risk Management Officials
3 years of experience in procurement, supply chain, supplier diversity, strategic sourcing, buying, etc.; or legal, audit, compliance, risk management, etc.
C-Suite, DEIA, HR, and Other Organizational Leaders
3 years of experience as a C-suite executive, DEIA champion, HR business partner, or other leadership role associated with managing stakeholder experiences
Exam Preparation
AMBP-L™ Course Objectives
- Understand customer and global community concerns about diversity, inclusion, fairness, accessibility, accountability, transparency, and bias.
- Initiate team conversations about the impact of biased software and systems on marginalized or diverse communities around the world.
- Balance self-regulation with concerns about fairness and privacy.
- Expand opportunities to operate effectively in different global markets.
- Provide more value to customers with advanced insights about your product’s bias-prevention capabilities.
- Reduce inefficiencies that lead to waste, dissatisfied customers, and/or lost sales.
- Eliminate costs associated with quality issues or product recalls.
2025 AMBP-L™ Course Schedule
IDC’s preparatory course and/or materials are NOT a requirement for eligibility of this examination or certification.
If Candidates elect to participate in the prep course, it consists of 17.5 hours of live instruction. The prep course will be offered three times in 2025. Organizations may request a custom cohort for their team at any time. All live online sessions are recorded and available for review over the course of one year from the date of registration.
- Winter 2025: March 3, 10, 17, 24, and 31 at 9:30 AM to 1:00 PM ET
- Spring 2025: May 1, 8, 15, 22, and 29 at 9:30 AM to 1:00 PM ET
- Fall 2025:
October 1, 8, 15, 22, and 29 at 9:30 AM to 1:00 PM ET
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Be more intentional about uncovering AI's impacts, and deliver more value to your stakeholders.
AMBP-L™ Fees and Policies
The costs of AI bias can far exceed the investment in IDC’s certification system. In addition to brand impacts and backlash, organizations risk losing customers, revenue, employees, and lawsuits. The benefits of the AMBP-L™ program are immense. For a small fee, the work of AI engineers and scientists can be in-demand, while organizations can ask the right questions before spending millions on technology that is unusable.
Fees
Test fees and related materials are for a one-time sitting only. All study materials will be provided online only. Fees must be paid in full before Candidate(s) receive access to the exam and/or the CN system.
AMBP-L™ Complete Package
Includes 5-week Zoom prep course, online study guide, access to the CN, and exam.
$824
AMBP-L™ Prep Course Only
Includes 5-week Zoom prep course, online study guide, and access to the CN. Exam
not
included.
$575
AMBP-L™ Exam
Only
Includes the exam (includes retest and exam change fees) and access to the CN. Test fees are for a one-time sitting only.
$299
Retests
Candidates who fail either portion of the AMBP-L™ examination are eligible to retake the assessment. Candidates must wait 28 days (approximately 4 weeks) before retesting. Each Candidate can only take the examination a maximum of three (3) times in one calendar year. A candidate is eligible for two exam retests in one calendar year. The retest fee is $299 per sitting.
Exam Changes
If one (1) year transpires and the Candidate has not completed the exam process, the Candidate’s access to the CN Learning Management System will expire. Candidates may renew their access to the CN system for a $299 exam change fee. Once the exam only fee has been paid, the Candidate will have another year to complete the program.
Withdrawals and/or Refunds
Effective February 12, 2025, no refunds will be provided for any reason, including but not limited to the exam, prep course, study guide, recertification fee, and/or membership fee. Candidates may withdraw from the program, make a substitution, or defer enrollment. If a Candidate elects to reschedule or make a substitution in the same calendar year (January 1st through December 31st), there will be no fee. If a substitution is made in a subsequent calendar year, the $299 exam change fee applies.
Recertification and Other Policies
Recertification
Upon achieving AMBP-L™ credentials, Designees have two (2) years to recertify. The recertification fee is $75 USD and AMBP-L™ Designees must show at least 40 continuing education units (CEUs) every two years.
Accommodations Policy
If a Candidate requires an accommodation for any reason during the prep course or exam, please request the accommodation during the application process. All testing accommodations must be approved by IDC before the prep course or prior to scheduling the exam.
Nondiscrimination Policy
The Institute for Diversity Certification prohibits discrimination on the basis of age, gender, race, religion, national origin, disability, sexual orientation, or any other characteristic protected by law.
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