Navigating the Future: AI Management Strategies

When:  Apr 24, 2024 from 13:00 to 14:00 (ET)
Associated with  New England Chapter


Artificial Intelligence (AI) governance is a critical framework encompassing policies and regulations to guide the development, deployment, and utilization of AI technologies. As AI integration becomes persistent in business, establishing a robust governance structure is essential to address risks, ethics, legal, and societal concerns. The core objective of AI governance is to balance innovation with responsible AI use, aligning it with business strategy and risk tolerance. 



This session with focus on: 

  • Strategic Implementation of AI: 

o   Align AI strategy with clear business objectives, derived from the existing business strategy. 

o   Prioritize use cases based on core competencies, customer needs, and industry trends.


  • AI Governance Structure:

o   Define clear business objectives, involve key stakeholders, and develop a comprehensive AI strategy. 

o   Specify data collection and management processes, ensuring data quality and security. 

o   Identify necessary AI technologies, tools, and invest in talent and skills development. 

o   Establish an oversight body for governance and a framework


  • Continuous Improvement and Alignment: 

o    Develop a roadmap with prioritized AI projects aligned with business goals and risk appetite. 

o    Establish feedback channels for continuous improvement of AI technologies. 

o    Implement change management practices and continuously evaluate and adjust the AI strategy to stay in sync with evolving business needs and emerging AI technologies. 


Listeners of the presentation will be able to takeaway:

·         Implementing and managing AI to be aligned with business objectives.

·         Balancing innovation and implementation with security, risk tolerance, and risk management.

·         Continuously evolving AI strategy and technologies to keep up with the evolving AI landscape.

May 15: Governance, Misinformation, and the Future of Public Discourse in an AI world


In today’s rapidly evolving digital landscape, the intersection of AI technologies and public discourse has become a focal point of interest and concern. As we delve deeper into the realm of artificial intelligence, questions about its influence on information authenticity, societal norms, and governance are increasingly coming to the fore. This presentation seeks to unravel the complexities of AI's role in shaping our perception of reality, the challenges of distinguishing between human and AI-driven content online, and the implications for personal and societal decision-making processes. By examining the Dead Internet Theory and the proliferation of AI-driven narratives, we aim to shed light on the critical need for robust AI governance and literacy.



This session will focus on:

  • Understanding the Impact of AI on Public Discourse:
    • Explore the Dead Internet Theory and its implications for our understanding of online content and interactions.
    • Examine the role of AI in spreading misinformation and shaping narratives, pointing to the Eglin Air Force Base information warfare leak and the Mingbulak incident
  • Evaluating the Risks and Opportunities of AI in Governance:
    • Discuss the potential of AI to influence public opinion and policy through automated content creation and social media manipulation.
    • Assess the implications of AI-driven disinformation campaigns on democracy, public trust, and international relations.
  • Strategies for AI Governance and Public Literacy:
    • Identify the challenges and opportunities in regulating AI technologies to ensure they serve the public good.
    • Discuss approaches to enhancing AI literacy among the general public to foster critical thinking and resilience against AI-driven misinformation.

Listeners of the presentation will be able to takeaway:

  • An in-depth understanding of the ways in which AI is reshaping public discourse and the potential consequences for society.
  • Insights into the complexities of AI governance and the importance of establishing frameworks to mitigate risks associated with AI technologies.
  • Strategies for improving public awareness and literacy regarding AI, to empower individuals in navigating an increasingly AI-driven world.