Responsible use of AI

The responsible use of AI requires recognizing that combining humans and technology is the best model for harnessing its full potential. While AI brings numerous benefits, it is not a substitute for human intelligence, intuition, and ethical decision-making. By embracing this collaborative approach, we can leverage the strengths of both humans and technology to achieve optimal outcomes.

Humans possess unique qualities, such as creativity, empathy, and ethical judgment, which are crucial for responsible AI use. While AI algorithms can process vast amounts of data and perform complex tasks, they cannot fully comprehend the nuances of human experiences, emotions, and ethical dilemmas.

Artificial Intelligence (AI) has the power to transform business, and we are committed to helping companies harness that potential with clear principles and ethical guardrails for the responsible use of AI.

Additionally, the collaboration between humans and technology helps address issues of accountability and transparency. Humans are responsible for defining the goals and values that guide AI systems, setting ethical boundaries, and ensuring fairness and equity in their implementation.

By embracing the combination of humans and AI, we can tap into the full potential of AI while upholding ethical principles, promoting fairness, and ensuring responsible decision-making, adhering to the following guiding principles.

• Safe & ethical

Prioritize the safety of human life, health, property, and the environment when designing, developing, and deploying AI systems, aligning with ESG principles.

• Accurate, transparent & reliable

Develop AI systems to achieve industry-leading levels of accuracy and reliability, ensuring outputs are trustworthy and dependable. Establish clear oversight by individuals over the full AI lifecycle, providing transparency into development and use of AI systems and how decisions are made.

• Secure & resilient

Mitigate potential cyber threats and vulnerabilities to ensure the robustness and resilience of AI systems.

• Non bias & human-centric

Design AI systems with human oversight and diverse perspectives, and aligned with our firm values to mitigate risks of unfair discrimination and harmful bias.

• Privacy-enhanced

Develop AI systems with careful attention to privacy, security, confidentiality, and intellectual property ownership considerations around the data used.

• Ongoing monitoring

Establish standards for continuous monitoring and evaluation of AI systems to uphold ethical, legal, and social standards and performance benchmarks.

• Continuous learning & development

Commit to continuous learning and development of AI systems, adapting through adaptive training, feedback loops, user education, and regular compliance auditing to remain aligned with ethical, legal, and societal standards.