Prevent AI Bias & Build Trust: New AMBP-L™ Certification
New Program Equips Leaders to Develop Ethical and Trustworthy AI
A recent study by the Edelman Trust Barometer revealed a significant gap in trust: while 76% of people trust businesses in the Technology sector, only 50% trust AI. This highlights the growing concern about bias in AI, which can lead to unfair outcomes and erode public confidence. In a significant step towards fostering ethical technology, the Institute for Diversity Certification (IDC)® today announced the launch of its Artificial and Machine Bias Prevention – Leader (AMBP-L)™ Certification program. This groundbreaking initiative equips leaders and professionals to prevent bias in the development and implementation of artificial intelligence (AI), machine learning (ML), and extended reality (XR) technologies.
“In today's rapidly evolving technological landscape,
ensuring fairness and eliminating bias in AI, ML, and XR applications is paramount,” said
Derwin Smiley, AMBP-L™, IDC® CEO. “The AMBP-L™ Certification empowers leaders to navigate these complexities and
build trust and transparency by proactively addressing bias throughout the software development lifecycle.”

Why AMBP-L™ Certification Matters
- Enhanced Credibility: Stand out by demonstrating your commitment to ethical technology development.
- Reduced Risk: Proactively mitigate the risks associated with biased algorithms, including brand damage, regulatory scrutiny, and lawsuits.
- Increased Efficiency: Minimize rework and product recalls by ensuring fairness throughout the development process.
- Improved Customer Satisfaction: Deliver AI, XR, and ML solutions that are trusted and inclusive for all users.
- Competitive Advantage: Attract and retain customers who value ethical business practices.
Equipping Leaders for Success
The
AMBP-L™ Exam Preparation Program offers a unique blend of academic rigor and practical application. Participants gain a deep understanding of:
- The different 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
- Techniques for solving for fairness and removing biased coding elements and data sets
- Methods for analyzing discriminatory trends and implementing diverse teaming models for user acceptance testing (UAT)
- Processes for resolving ethical dilemmas and setting team standards
- Strategies for measuring anti-bias accuracy levels
The AMBP-L™ Certification assessment process consists of two parts:
- A high-stakes, 100-question knowledge exam
- A gamified simulation where participants remove biased data/elements, identify bias manifestations, and evaluate the removal of biased codes.
Eligibility
The AMBP-L™ Certification program is designed for a wide range of professionals, including:
- Founders, IT Executives, and Tech Professionals
- Procurement and Risk Management Officials
- C-Suite, DEIA, HR, and Other Leaders
Fall 2024 Course Registration Now Open
The first AMBP-L™ Certification course will be held virtually this fall, with sessions running from October 1st to 22nd, 2024.
Special Anniversary Offer!
Celebrate 15 years of empowering change with IDC®'s exclusive discounts on the CDP® program!
* New CDP® and CDE® Candidates enrolling in Online and Self-Study Programs save 50% through December 31, 2024 at 11:59 PM ET. Must use Promo Code: 15YEARS during registration. Does not apply to prior purchases or custom cohorts.
** Save 10% on educational programs through December 31, 2024 at 11:59 PM ET. Includes the AAL, AMBP-L Online Exam Prep Packages, and Train-the Trainer. Must use Promo Code: WELCOME10 during registration. Does not include Membership (including webinars), Certification fees (exam-only registration and exam changes), and Recertification. Excludes prior purchases and groups. May not be combined with other promotions.
Don't miss this opportunity to become a leader in ethical technology development.
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Disclaimer: Content on this blog is authored by multiple sources. While we do make every attempt to proofread and fact-check, unless authored our staff, the views expressed do not necessarily reflect those of the Institute for Diversity Certification (IDC), Inc.
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