Length: 2 Days
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Ensuring Safe, Secure, and Trustworthy Development and Use of AI, LLM and GenAI Training Course by Tonex

Ensuring Safe, Secure, and Trustworthy Development and Use of AI, LLM and GenAI Training Course by Tonex

This course outlines the policy and principles guiding the responsible development and use of artificial intelligence (AI) within the United States. It emphasizes the potential benefits of AI while acknowledging the risks it poses, such as fraud, discrimination, bias, and national security threats. The order calls for a coordinated effort across government agencies, industry, academia, and civil society to promote safe, secure, and ethical AI practices.

Learning Objectives:

  • Understand the importance of responsible AI development and use in addressing societal challenges and ensuring national security.
  • Learn about the eight guiding principles and priorities for governing AI development and use.
  • Recognize the need for robust evaluations, testing, and mitigation of risks associated with AI systems.
  • Explore the role of government, private sector, academia, and civil society in promoting responsible AI innovation and collaboration.
  • Understand the implications of AI on workers, equity, civil rights, privacy, and consumer protection.
  • Gain insights into international collaboration and leadership in managing AI risks and promoting ethical AI practices globally.

Audience:

The intended audience for the seminar outlined in the executive order on the safe, secure, and trustworthy development and use of artificial intelligence includes:

  • Government Officials and Policy Makers: Those involved in shaping AI-related policies, regulations, and strategies at the federal, state, and local levels.
  • Industry Leaders and Executives: Decision-makers in companies developing and deploying AI technologies across various sectors such as technology, healthcare, finance, transportation, and more.
  • Academia and Researchers: Professionals engaged in AI research, education, and training programs within universities, research institutions, and academic organizations.
  • Civil Society Organizations: Representatives from non-profit organizations, advocacy groups, and community stakeholders focused on AI ethics, fairness, and societal impact.
  • AI Developers and Engineers: Professionals involved in designing, developing, and implementing AI systems, algorithms, and applications.
  • Legal and Compliance Professionals: Lawyers, compliance officers, and legal advisors dealing with AI-related regulations, intellectual property, privacy, and consumer protection.
  • Labor Unions and Worker Advocates: Representatives advocating for workers’ rights, job quality, and equitable opportunities in the context of AI-driven automation and workforce changes.
  • International Partners and Allies: Representatives from foreign governments, international organizations, and global stakeholders interested in collaborating on AI governance, standards, and best practices.

Overall, the seminar aims to bring together a diverse range of stakeholders involved in the AI ecosystem to foster dialogue, collaboration, and informed decision-making towards responsible AI development and use.

Course Modules:

Module 1: Introduction to AI Governance

  • Overview of the executive order’s purpose and objectives.
  • Importance of responsible AI development and use.

Module 2: Policy and Principles for AI Governance

  • Explanation of the eight guiding principles and priorities outlined in the order.
  • Discussion on the need for safe, secure, and trustworthy AI systems.

Module 3: Safety and Security in AI Systems

  • Understanding the requirements for robust evaluations, testing, and risk mitigation in AI systems.
  • Addressing AI’s security risks and navigating complexities in AI deployment.

Module 4: Responsible Innovation and Collaboration

  • Promoting innovation, competition, and collaboration in AI development.
  • Investments in AI-related education, training, research, and capacity building.

Module 5: Worker Rights and Equity in AI

  • Ensuring workers’ rights, job quality, and access to opportunities in the age of AI.
  • Addressing discrimination, bias, and labor-force disruptions caused by AI.

Module 6: Civil Rights, Privacy, and Consumer Protection

  • Protecting civil rights, privacy, and consumer interests in AI deployments.
  • Enforcing existing laws and safeguards against fraud, bias, discrimination, and privacy infringements.

Module 7: International Collaboration and Leadership

  • Engaging with international allies and partners to develop global AI frameworks.
  • Leading discussions on responsible AI practices, safety, and security at the global level.

Module 8: Q&A and Discussion Session

  • Interactive session for participants to ask questions, share insights, and discuss challenges and opportunities in AI governance.

This seminar aims to provide a comprehensive understanding of the policy, principles, and practices necessary for ensuring the safe, secure, and trustworthy development and use of artificial intelligence. Participants will gain insights into the ethical considerations, regulatory frameworks, and collaborative efforts required to harness AI’s potential while mitigating its risks.

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