Future Challenges and Risks of AI Adoption

Participants will gain a nuanced understanding of the ethical, technical, and strategic dilemmas posed by AI adoption, enabling them to anticipate and mitigate risks effectively.
Duration: 1 Day
Hours: 2 Hours
Training: Live Training
Training Level: All Level
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Contact Support for Group Offers
Friday, January 24, 2025
12:00 PM - 02:00 PM (Eastern Time)
Monday, February 17, 2025
12:00 PM - 02:00 PM (Eastern Time)
Monday, March 17, 2025
12:00 PM - 02:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded

About the Course:

The adoption of Artificial Intelligence (AI) has transformed industries and redefined how businesses and societies operate. However, with these advancements come significant challenges and risks. This 2-hour course explores the critical considerations organizations and individuals must address as they embrace AI technologies. Participants will gain a nuanced understanding of the ethical, technical, and strategic dilemmas posed by AI adoption, enabling them to anticipate and mitigate risks effectively.

Course Objective:

  • Understand Future Challenges: Identify the key technical, ethical, and societal challenges of integrating AI into various domains.
  • Evaluate Risks: Analyze the risks associated with AI adoption, such as bias, security threats, and regulatory compliance.
  • Ethical Decision-Making: Foster ethical approaches to AI development and deployment.
  • Strategic Preparedness: Equip participants with tools and strategies to navigate the uncertainties of AI’s impact on the future workforce, economy, and global trends.

Who is the Target Audience?

  • Business leaders and decision-makers exploring AI adoption.
  • Technology professionals and developers working with AI solutions.
  • Academics and researchers studying AI and its societal implications.
  • Policymakers and legal professionals are concerned with AI regulation and ethics.
  • Students and enthusiasts are interested in the evolving AI landscape.

Basic Knowledge:

  • No prior knowledge is required

Curriculum
Total Duration: 2 Hours
Introduction to AI and Its Evolution

  • Overview of AI advancements and applications.  
  • Historical context and future potential of AI technologies.  

Key Challenges in AI Adoption

  • Understanding biases in AI algorithms.  
  • Data privacy and security risks.  
  • Operational challenges and integration barriers.  

Ethical and Societal Risks

  • Impacts of AI on employment and societal structures.  
  • Addressing ethical dilemmas in AI development.  
  • Balancing innovation with regulatory compliance.  

Risk Mitigation Strategies

  • Developing robust governance frameworks for AI.  
  • Incorporating fairness, transparency, and accountability.  
  • Scenario planning and risk assessment tools.  

Case Studies and Real-world Insights

  • Examining successful and failed AI implementations.  
  • Lessons learned from industries leading AI adoption.  

Preparing for the Future of AI

  • Anticipating future trends and disruptive changes.  
  • Skills and knowledge are needed for an AI-driven future.  

Q&A and Closing Reflections

  • Addressing participant questions and concerns.  
  • Summarizing actionable takeaways.