Case History on Embracing Opportunities of Disruptive Technologies and Creating Trust in AI Systems

12july1:00 pm2:00 pmCase History on Embracing Opportunities of Disruptive Technologies and Creating Trust in AI SystemsA Member-Exclusive Council Virtual Event

Event Details

Abstract:
Generative Artificial Intelligence/Machine Learning including Generative Pre-trained Transformers (GPT) present both challenges and opportunities that must be addressed by individuals and organizations.

Key Take-Aways:

  • Insight on opportunities in generative AI/ML systems to drive rapid knowledge discovery and innovation
  • An understanding of the challenges that must be addressed to ensure responsible adoption; workforce disruption, privacy risks, intellectual property leaks, and insufficient transparency and explainability
  • A guide for moving forward where individuals and organizations should implement policies, processes, and technologies to facilitate proper human-machine engagement and control during human-machine teaming; start with prioritizing broad education and training to promote AI/ML fluency

Some References for Further Reading:

 2023 Final Report of the National AI Task Force


2016 Defense Science Board Summer Study on Autonomy


National Security Commission on AI


DoD Policy 3000.09 – Autonomy in Weapon Systems


DoD Responsible AI Strategy and Implementation:

  • Responsible (judgement/care)
  • Equitable (un biased, e.g., early biased systems in resume selection, sentencing, loans)
  • Traceable (transparent, explainable)
  • Reliable (v&v, testing something that learns/changes, certification and accreditation)
  • Governable (detect and avoid unintended consequences)

EU AI Act (presentation here). Regulating use cases: complexity, opacity, unpredictability, autonomy, data which map onto safety, rights, enforcement, uncertainty, mistrust, and fragmentation. Codes of conduct.


NIST AI Risk Management Framework (RMF)


MITRE ATLAS™ (Adversarial Threat Landscape for Artificial-Intelligence Systems), is a knowledge base of adversary tactics, techniques, and case studies for machine learning (ML) systems based


Some Ideas on Integrity of Generative AI

more

Time

(Wednesday) 1:00 pm - 2:00 pm , Eastern Daylight Time

Location

Remote, Also To Be Available On-Demand

How To Join

Membership with the Growth Innovation Leadership Council of global visionaries is key to propel your organization into the next realm of this innovative age. Apply to join and a representative from our Membership Services Team will contact you to detail the benefits of the program and provide a behind the scenes tour of our exclusive partners-only portal.

Office Location

Frost & Sullivan
7550 1H 10 West, Suite 400
San Antonio, TX 78229-5616 USA