Artificial Intelligence (AI) can be a powerful tool supporting continuous innovation at Skillibrium and enhanced return on investment (ROI) for Skillibrium’s customers. Skillibrium will work to maximize trust and minimize harm through the application of the following ethical and responsible AI principles for its use and development of AI tools.
Human-Centric Design
Skillibrium will prioritize human well-being and societal impact over purely technical goals in its development and use of AI to enhance human capabilities and address real-world problems.
Consistent Transparency
Skillibrium will promote transparency and trust in its use of AI by providing reasonable notice of its use and work to ensure that any automated decisions are explainable.
Fairness, Inclusivity and Non-Discrimination
Skillibrium will take into consideration principles of fairness, inclusivity, non-discrimination, and bias to avoid unintended discrimination and harm through its use of AI.
Privacy and Data Protection
The use of AI tools at Skillibrium will undergo privacy and security assessments and will apply privacy and security by design to safeguard personal, proprietary and confidential data in compliance with Skillibrium’s obligations under its agreements with customers and partners and applicable laws.
Accountability and Responsibility
Skillibrium will employ sound risk management and governance principles to ensure that development and use of AI tools at Skillibrium is subject to these principles, applicable laws, and industry best practices for responsible AI.
Safety, Security, and Robustness
Skillibrium will apply ongoing rigorous testing and risk assessment measures to ensure that AI systems operate safely, securely and appropriately for their intended purpose.
Environmental Responsibility
Skillibrium will consider the environmental impact of AI systems, including their energy consumption and carbon footprint, and strive to minimize their ecological footprint throughout their lifecycle.
Continuous Learning and Improvement
Skillibrium will commit to ongoing learning, research, and collaboration to advance responsible AI practices, incorporate emerging best practices, and address new challenges and opportunities.