AI Ethics

Understanding the ethics,

governance and risk management of working with AI

Artificial Intelligence is developing at a rate faster than the speed at which we can evaluate its strengths, weaknesses and risks with any evidence-based clarity. What we can do to mitigate any risks to our enterprises, employees and reputations is focus on our business values and ethics.

“The global artificial intelligence market size was valued at USD 136.55 billion in 2022 and is projected to expand at a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030.”

To remain transparent, accountable and efficient while experimenting with and utilizing leading-edge technologies, we must agree upon a set of publicly shared operating principles. Creating a corporate governance model that follows the law and encourages broad-based participation will maintain the human-tech balance needed to thrive in an AI-driven world.

How we can help you utilize AI ethically

AI ethics, governance and risk management should be every-day and cross-organizational priorities:

  • Focus on helping your team develop ethical and responsible AI practices, ensuring compliance with relevant regulations and minimizing risks associated with AI implementation.
  • Ensure that your data is being used in a responsible, ethical and compliant manner.
  • Take appropriate measures to mitigate potential risks associated with AI implementation.  
  • Create a data governance framework, taking appropriate measures to protect the privacy and security of your data.

Our experienced team of strategists, software developers and knowledge managers can help you review your AI ethics, governance and risk management.

Data bias assessment

We can identify any biases in your available data that may affect the accuracy and fairness of your AI models.

Data collection and preparation plan

We can collect and prepare your data and fill in any gaps in your existing data sets. This will ensure you have enough data to support your AI use cases and that your data is of good quality.

Data governance framework

We can develop a data governance framework of policies, procedures and controls that define how data is managed within your organization.

Data privacy and compliance

We can identify any potential privacy issues and ensure that your organization has best practices for complying with relevant regulations such as GDPR, CCPA, HIPAA, etc.

Data risk assessment

We can identify and mitigate potential risks associated with AI implementation and suggest appropriate measures that will protect your data and minimize your exposure to risk.