Video

---

Are you scrambling to deploy AI in your business?

Worried that you may be cutting corners?

Unable to bridge the gap between your Executives and Data Scientists?

Concerned that you might be storing up big problems for the future?

Mark combines his deep understanding of AI and ML from Stanford Graduate Business School with his deep risk, regulatory and compliance experience to advise c-suite executives and Board members:

Inherent Risks in AI Adoption

• Cyber Security - data poisoning
• Model Quality - complexity, degredation, bias
• Intellectual Property - training data, fair use boundaries, invention ownership, deepfakes, likeness use

Over-the-horizon risks - 'unknown unknowns'

• Unexpected interactions at scale
• Black Swan vulnerabilities
• Systemic risk overspill
• Resourcing shortages
• Regionalization with divergence, regulatory conflict/arbitrage, local bias impact

Mark has developed solutions including:

AI Governance Framework

• Steering Committe with c-suite participation
• AI Workstreams covering key challenges
• Ethics first policy blueprints
• HR and Compensation model adjustments

Communications Bridge Model

• shareholders
• employees
• regulators
• customers
• vendors

Dynamic Risk Assessment Process

• Ongoing, operational need
• AI asset inventory
• AI critical function mapping
• Cross risk-category heatmaping
• Dedicated focus on emerging threats

Board and C-Suite Education

AI KPI Framework

• Ethical KPIs
• Risk KPIs
• Governance KPIs
• Copyright KPIs
• Likeness KPIs

Vendor Assessments

Audit and Risk Reviews