The BeyondMinds Ethics Committee
As part of this commitment, we’ve established an ethics committee, comprising of members across diverse departments (marketing, legal, data security, HR, product, R&D.) The committee focuses on three control points in the product lifecycle:
Solution design stage – Running detailed risk analysis, checking the data used to train models and how parameters are defined, to avoid biases. In addition, we identify potential ethical issues the way solutions are used.
Development stage – In developing the model, we pay close attention to avoiding feature imbalances and biases that can result in discrimination against certain target populations, taking into account edge cases.
Monitoring stage – Throughout the process, we ensure that our solution provides transparency and explainability regarding our AI predictions and outputs, making sure there are no significant data drifts that can create potential ethical risk.
Enabling AI democratization around the world, our company has offices in Tel-Aviv, New York, and London, with employees located in numerous other countries. We service Global 1000 companies, enabling full AI transformation in these organizations.
We Love Theory
With our origin in academics, we are committed to furthering the education and understanding of AI.
Ethical AI: Avoiding Pitfalls That Can Have Serious Ramifications on AI Transformation
The power of Artificial Intelligence has been discussed in the headlines in the past years – transforming numerous industries and creating huge economic value, especially for early adopters of the technology. From item and face recognition in photos, to automated closed captions, the scientific breakthroughs in AI…
The AI Consulting Podcast: Pivoting from an AI Services Firm to an AI Platform Company
Dr. Roey Mechrez is once again hosted at the AI Consulting Podcast, addressing the following topics: Productization of AI use-cases The shift from model-centric to production-centric AI Introducing the comcept of AI-as-a-Service (AIaaS) How a horizontal platform can shorten the deployment cycles of AI…
MLOps Podcast: Algorithmic challenges in bringing ML models into production
Tune in to the MLOps podcast and hear BeyondMinds CTO & Co-Founder Dr. Roey Mechrez address the following topics: The algorithmic challenges of building an ML platform that needs to adapt to different customer needs Designing a rubust platform that is intented for non-technical users withing enterprise customers…
Creating Configurable Data Pre-Processing Pipelines by Combining Hydra and Sklearn
Data pre-processing pipelines are an integral component in any machine learning (ML) system and can have significant effects on the performance of ML models. This article presents a software tool, which supports efficient experimentation and deployment of ML systems. Specifically, the tool generates configurable data…
Infographic: Money Laundering & AI
Money Laundering is a multi-billion-dollar problem for banks and governments alike. It’s not just one of the most common types of financial crimes – it’s also increasing rapidly, taking a significant toll on financial institutions, that struggle to keep up with this growing threat with traditional AML software.…
The AI Consulting Podcast: Demystifying the Technical Challenges of AI Adoption
BeyondMinds CTO & Co-Founder Dr. Roey Mechrez is hosted at the AI Consulting Podcast, addressing the following topics: Preparing datasets to properly train AI models Training & re-training algorithms Striking the right balance between automated and humans in mission-cricital use cases Monitoring AI solutions…
AI-Powered Risk Scoring Helps Fight Payment Fraud
2020 was a transformative year for online services, commerce and payments. On the back of the pandemic, the digital commerce ecosystem has experienced a radical growth spurt. The widespread disruption across all walks of life led to a tectonic shift in e-commerce, speeding up the adoption of digital wallets,…
Money Laundering is at an All-Time High; AI can Help Banks Tackle this Global Threat
Money Laundering, one of the most prominent financial crimes, is constantly on the rise. At the heart of this criminal activity are sophisticated money launderers with the ability to move illicit funds seamlessly through the formal financial system. Criminals continue to evolve in their laundering techniques, locating…
Brochure: AI-Based Monitoring for Anti Money Laundering
There are many factors currently influencing the evolution of the financial industry, from consumers demanding more digital services to new types of competition penetrating the…