AI Governance
AI governance refers to the frameworks, policies, and procedures that ensure the ethical, responsible, and effective use of artificial intelligence within an organization.
Establishing Clear Guidelines: Defining how AI should be developed, deployed, and used within the organization to align with ethical standards and regulatory requirements.
Risk Management: Identifying and mitigating potential risks associated with AI, such as biases in algorithms or data privacy issues.
Accountability and Transparency: Ensuring that AI systems are transparent and decisions made by AI can be explained and justified.
Compliance: Adhering to relevant laws and regulations to avoid legal repercussions and maintain public trust.
Stakeholder Involvement: Engaging a wide range of stakeholders, including AI developers, users, policymakers, and ethicists, to ensure diverse perspectives are considered.
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INCYTES Core Values
Planning
Strategic planning is essential for aligning technology initiatives with an organization’s overall goals and objectives.
Guidance
Expert insights are crucial for organizations navigating the complexities of the digital landscape.
Optimization
IT optimization is vital for enhancing operational efficiency and maximizing the value of technology investments
