AI Development: Can Ethics Keep Up with Innovation? | A Conversation with Eric Permenter, Pam Kamath, Darryl Hawkins, and Taiye Lambo | Redefining CyberSecurity with Sean Martin

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4d ago 1:05:38

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Taiye Lambo, Founder of Holistic Information Security Practitioner Institute (HISPI), Founder and Chief Technology Officer of CloudeAssurance, Inc.

On LinkedIn | https://www.linkedin.com/in/taiyelambo/

Pam Kamath, Founder, Adaptive.AI

On LinkedIn | https://www.linkedin.com/in/pamkamath/

Aric Perminter, CEO, Lynx Technology Partners, LLC.

On LinkedIn | https://www.linkedin.com/in/aricperminter/

Darrel Hawkins, Cyber Chief Technology Officer, Otis Elevator Co.

On LinkedIn | https://www.linkedin.com/in/darrellhawkinscissp/

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Host: Sean Martin, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining CyberSecurity Podcast [@RedefiningCyber]

On ITSPmagazine | https://www.itspmagazine.com/sean-martin

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Episode Notes

The latest episode of Redefining CyberSecurity Podcast brought together a distinguished panel of experts to delve into the intricacies of artificial intelligence, its benefits, and its risks. Hosted by Sean Martin, the panel included Eric Permenter, Founder and Chairman of Lynx Technology Partners; Pam Kamath, Founder of Adaptive AI; Darryl Hawkins, an IT industry veteran with extensive experience in cybersecurity; and Taiye Lambo, who established the Holistic Information Security Practitioner Institute in Atlanta, Georgia. One of the primary topics discussed was the pervasive influence of AI in various industries, particularly the dichotomy between generative AI and traditional AI.

Pam Kamath highlighted the overlooked capabilities of traditional AI in fields like healthcare, which already show significant advancements in areas such as radiology. This underscores the point that while generative AI, epitomized by models like ChatGPT, garners much of the public's attention, traditional AI applications continue to evolve and solve complex problems efficiently.

Darryl Hawkins brought a commercial perspective into the discourse, emphasizing the balancing act between leveraging AI for profitability versus ensuring societal safety. The key takeaway was that AI's role in enhancing productivity and creating new opportunities is undeniable, yet it is imperative to remain vigilant about its societal implications, such as privacy concerns and job displacement.

Taiye Lambo shared insights from his experience with AI's practical applications in cyber operations. He underscored the diversity of AI's utility, from improving threat intelligence to automating secure responses, demonstrating its potential to transform cybersecurity protocols dramatically. Lambo also provided a thought-provoking view on privacy, suggesting that with the integration of AI into daily operations, the traditional concept of privacy might inevitably evolve or even diminish.

Eric Permenter, focusing on sales and operational efficiencies, shared his insights on how AI-driven analytics can profoundly impact sales strategies, enhancing proposal effectiveness and positioning high-value services. This reflects AI’s broader potential to revolutionize internal business processes, making organizations nimbler and more data-driven. A common thread throughout the discussion was the emphasis on learning from past technological advances, like the adoption of cloud services, to guide AI implementation.

Sean Martin and the panelists agreed that clear use cases and identified outcomes remain critical to leveraging AI effectively while managing risks thoughtfully. In doing so, organizations can harness AI's strengths without repeating past mistakes. Ultimately, the episode revealed that the journey with AI entails navigating both opportunities and risks. By focusing on practical applications and maintaining a vigilant eye on ethical and societal concerns, businesses and individuals can find a balanced approach to integrating AI into their ecosystems. This nuanced conversation serves as a valuable guide for anyone looking to understand and leverage the power of AI in a meaningful and responsible way.