Our Ethical Principles
As proud partners of the Montreal AI Ethics Institute, we’ve put in place strong ethical principles on data use as we believe that it’s not only important to create value, we are committed to creating value in the right way.
Berkindale Analytics’ Ethical Data Principles
Privacy
Proper data governance protocols and data classifications are paramount to making sure data privacy concerns are met. Technology should be reliable and safe in the context of data processing.
Security
Private data should be encrypted according to best standards and made available through a comprehensive entitlement system. Penetration testing and audits of the development process will be performed.
Transparency
Data systems and downstream AI outputs should be understandable and have transparent data lineage. Full audit trail of actions performed by the data platforms should be readily available.
Accountability
Firms should be accountable for how their data is used and the outputs of downstream AI systems. Firms must be aware of the type of data and training sets that will be used to feed machine learning applications.
Fairness/Inclusiveness
Technology is for all to use in a fair and inclusive way. However, historical data and training sets may have unfair bias and so we support discrimination-aware data mining (DADM) and fairness, accountability, and transparency in machine learning (FAccTML) communities.
Explainability
Outputs of data processing and AI algorithms must have explainability. Any decision-aid system must also have a human-in-the-loop (HITL) as a failsafe that can catch and fix a decision system’s outputs.
OUR SOLUTIONS
Alpha Book™
Get full access to granular Canadian equity market data with our full-service Alpha Book™ portal. All with a simple, affordable licensing model.
The de-facto data platform for regulators and trade surveillance teams to analyze the market. Algorithmic traders can feed the granular data points into backtesting environments to intuit strategies.
Transaction Cost Analytics
Choose from our suite of Transaction Cost Analytics or generate your own bespoke insights and dashboards with our analytics platform.
Clients have achieved unprecedented trade match rates all with full transparency of data lineage – insights from your smart order router back to your trader’s hands.
FROM THE NEWSROOM
Research Spotlight | The Flash Crash: High-Frequency Trading in an Electronic Market
Research from Kirilenko et al. in the Journal of Finance in 2017 has indicated that while high-frequency trading shops (HFTs) did not initiate the well-known U.S. May 6, 2010 flash crash, the sell-off event was [...]
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