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AI, Regulatory, and Technology Strategy
Regulations for AI are constantly shifting, affecting business strategy and growth. Business, AI, technology, legal, government relations, and other teams must collaborate to disrupt existing markets and enter new ones.
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Responsible AI
Often, this is as much about culture change and justice as opposed to purely technological solutions. The terms Data Ethics, AI Ethics, Responsible Innovation, and Responsible AI are interrelated, overlapping, and relevant.
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AI Governance
Governance requires ethics. Ethics is the work that is performed to satisfy the values, in accordance with principles, and in support of governance. It is the job of governance to assess whether the norms, policies, and practices are satisfied in a particular case. Building the infrastructure for governance requires mindful stakeholder engagement.
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Operationalize Principles
Principles are norms, policies, and practices that generally describe how to implement organizational values. They are guardrails that describe what ought or is required – ethically and legally – to protect and promote the organizational values. Operationalizing principles is the work of putting systems, policies, and practices in place to ensure values alignment across the entire footprint of an organization.
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Stakeholder Engagement
Any global business not fully engaged with governments, civil societies, entrepreneurs, businesses, and academics for their highest growth opportunities is leaving revenue on the table. Stakeholders might also have overlapping interests. Establishing external advisory and/or governance boards is an effective way to manage risk, celebrate stakeholders, and build trust while maximizing revenue.
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Infrastructure of Trust
Now that every business is a digital business, ensuring digital trust is table stakes for every business. To excel at digital trust is a systemic endeavor that cuts across domains and functions. From security and reliability, and accountability and oversight, to inclusive, ethical, and responsible use of data. The mandate must be broad and systemic.
