Scale Your AI Ambition, Ethically and Responsibly
The advancements in AI and its adoption by individuals and enterprises, is growing at a pace we’ve never seen before. While the foreseeable benefits are immense, it also brings significant trust, legal, and security risks for individuals, enterprises and society at large. Ethical AI is critical for enterprises to maintain trust, fairness, and accountability in the use of AI technologies.
Here are the challenges Ethical AI addresses:
- Algorithmic Bias. Addressing data and algorithm biases that can lead to unfair or discriminatory outcomes.
- Privacy Concerns. Ensuring that the benefits of AI-powered data analysis don’t infringe on privacy rights.
- Explainability. The need for AI systems to provide understandable explanations for their decisions.
- Regulatory Frameworks. Robust regulations and guidelines to monitor and govern the ethical use of AI systems.
Empowering an Ethical and Responsible Enterprise AI Ecosystem
We partner with clients to help them adopt practices and techniques that ensure artificial intelligence systems are being developed, deployed, and used in an ethical and responsible manner. Here is Sutherland’s AI Code of Ethics:
Be Humane
We seek to empower people, not replace them. Sometimes a human touch is needed. Humans govern AI solutions.
Be Trustworthy
Privacy and security are fundamental pillars to our customers, and we consider them at every step of the process.
Be Upstanding
We aim to be socially responsible, fair, transparent, and unbiased because that’s the right thing to do. We include guardrails.
Be Free of Bias
We create guidelines and tools to identify and remove biases in AI algorithms and data sets to ensure fairness and prevent any form of discrimination.
Be Relevant
Customer outcome is our North Star. AI should delight the customer, not just the data scientists. We measure to stay relevant.
Be Accountable
Markets and businesses evolve. So must the solutions. We plan for sustainable success. We measure and refine over time.
Unlocking Digital Performance
Human + AI
Focus on human-centric approach to design and developing AI systems, prioritizing trust, data privacy, and security.
Enhance Trust and Transparency
With robust bias detection, privacy controls, and transparency, your AI systems become more explainable and trustworthy, driving more adoption and better experiences for employees and customers.
Stay on Top of Compliance
Mitigate regulatory risks and strengthen compliance.
Ethical by Design
Proactively infuse ethical principles and frameworks into the design and development of AI systems to enhance reliability.
Diverse and Inclusive Teams
Empower more diverse and inclusive AI research, design, and development teams to mitigate bias and encourage multiple perspectives.
