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Lead AI Initiatives That Legal Approves and Security Trusts

6h 48m 2s
English
Paid

Master the Art of Leading AI Initiatives, ensuring they meet strict compliance and safety standards. This course offers essential frameworks, language, and tools for transitioning an AI idea into a safe and compliant reality, moving seamlessly from pilot to industrial deployment.

Course Objectives

Upon completing this course, you will be equipped to:

  • Secure Legal Approval: Successfully obtain legal department approval for AI initiatives, leveraging guaranteed results.
  • Speak the Compliance Language: Translate the technical intricacies of AI into risk-reduction terms that resonate with Legal teams.
  • Present Robust Business Cases: Formulate business proposals that satisfy CFO scrutiny, demonstrating both ROI and risk mitigation.
  • Navigate Legal Frameworks: Confidently manage EU AI Act, HIPAA, GDPR, and other regional requirements without needing legal expertise.
  • Develop Approved Implementation Plans: Create roadmaps endorsed by Legal, Security, and Management, eliminating procrastination and needless delays.

Learning Outcomes

In just four weeks, develop skills to assess, manage, and scale AI initiatives with inherent legal and security compliance.

AI Leadership and Evaluation

  • Understand AI Potential: Grasp AI capabilities, matching tools to tasks, and identify quick wins to justify investment.
  • Distinguish Between Hype and Reality: Evaluate AI solutions with an ROI focus to see genuine transformations.
  • Spot Automation Opportunities: Discover daily process automation opportunities, adopting an AI-first approach.

Regulation Navigation

  • Comply with Industry Standards: Apply and adhere to emerging AI regulations with ease.
  • Legal-Technical Translation: Convert legal demands into tangible technical measures that pass audits effortlessly.

Compliant Project Launch

  • Pre-Purchase Compliance Risk Assessment: Evaluate AI tools for compliance risks to identify obstacles and suitable solutions.
  • Design Architecture with Security and Privacy: Prevent costly reworks by addressing security and privacy early in the design process.

Agentic AI System Deployment

  • Create Compliant Agent AI Solutions: Ensure AI systems meet validation, security, and compliance requirements.
  • Reconcile Diverse Interests: Balance the needs of engineers, lawyers, security staff, and management to facilitate smooth control stage passage.

Preliminary Legal Approval Acquisition

  • Prepare Comprehensive Documentation: Utilize our framework to address the seven primary questions from the legal department.
  • Position AI as a Risk Reduction Tool: Enhance AI appeal through accurate risk assessment, meticulous data origin records, and detailed audit trails.

About the Authors

Niharika Srivastav

Niharika Srivastav thumbnail
Niharika has dedicated more than 25 years to bridging the gap between AI innovations and corporate compliance requirements. Her executive roles at Deloitte, Bank of America, Charles Schwab, and Blue Shield of California have shaped her deep expertise in working with large enterprises. As the Managing Director of the Drishtee Foundation, she provides more than 200,000 rural women entrepreneurs with access to AI tools and digital technologies. She completed the Executive Leadership Program at Stanford, holds an MBA from the Delhi School of Economics, and received her engineering education at Delhi College of Engineering. Her competencies include managing portfolios of initiatives, implementing AI solutions, cybersecurity, and regulatory compliance in highly regulated industries. Niharika excels at translating the complexity of AI into a language that legal teams can understand, which is essential for the approval and scaling of technologies.

Sanjay Saxena

Sanjay Saxena thumbnail
Sanjay spent 25 years on the other side of the doors where decisions are made to approve or shut down AI projects. While working at Deloitte, KPMG, CVS Health, and Kaiser Permanente, he repeatedly observed promising ideas being halted simply because teams didn't know how to speak the language of the legal and compliance departments. It's precisely for this reason that he created this course. As the founder of Elevate AI, Sanjay helps companies scale the use of artificial intelligence while adhering to all regulatory requirements. He holds CISSP and PMP certifications, completed an Executive MBA at Harvard Business School, and received an engineering education in India. His more than 25-year career encompasses the implementation of AI solutions, security issues, and corporate system architecture in highly regulated industries. Sanjay structures complex technological ideas into practical framework models that students can apply immediately. He also hosts technology radio programs, following the principle: if you can't explain it simply, then you don't understand it deeply enough.

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#1: AI Foundation
All Course Lessons (10)
#Lesson TitleDurationAccess
1
AI Foundation Demo
51:54
2
AI Foundations (Repeat)
00:30
3
AI Tools, AI Ethics, and Privacy VIDEO 1
48:00
4
AI Tools, AI Ethics, and Privacy VIDEO 2
58:01
5
AI Tools, AI Ethics, and Privacy (Repeat)
50:17
6
Communicating with AI, ChatGPT, GEMs, Projects
53:14
7
Communicating with AI, ChatGPT, GEMs, Projects (Repeat)
00:29
8
Automation & AI Agents
57:41
9
Advanced Case Study Clinic
48:39
10
AI Agents, Legal Approval of AI projects
39:17
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