Tech & AI LIVE: Gen AI – The Future of Generative AI Panel

December 09, 2024

undefined mins

Industry experts examine current applications, near-future innovations and ethical imperatives when it comes to generative AI

At Tech & AI LIVE: Gen AI, leading executives took part in The Future of Generative AI panel. The session examined current applications, near-future innovations and the ethical imperatives surrounding generative AI.

Panellists included:

Aaron Celaya, Deputy Program Manager, USSF University Consortium at United States Department of the Air Force
Alex Guilbault, Head of AI at TELUS
Rajat Ahluwalia, Vice President of Engineering at Capgemini

The Future of Generative AI Panel

Where are we now? Generative AI's current applications

The panel began by exploring the most promising use cases for generative AI today. Aaron emphasised applications that integrate seamlessly with human decision-making processes.

“Capabilities that enhance human workflows and build trust are the most impactful,” he notes.

Alex highlights AI’s role as an expert advisor across industries.

“Generative AI provides second opinions, accelerates coding, and simplifies technical research, creating efficiencies and reducing costs,” he explains. From call centres to software development, AI is becoming an indispensable tool for streamlining operations.

Rajat adds that generative AI is revolutionising network management through autonomous systems.

“With multi-agent frameworks, networks can self-heal and predict issues before they arise, paving the way for smarter, more efficient systems,” he says.

Aaron Celaya, Deputy Program Manager, USSF University Consortium at United States Department of the Air Force

The next five years: Emerging trends and technologies

Looking ahead, the panelists shared their visions for generative AI’s evolution over the next five years. Alex predicts a shift from AI as an advisor to AI as a peer.

“We’re moving towards systems that don’t just suggest solutions but autonomously execute tasks, such as updating customer accounts or implementing software functionalities,” he says.

Aaron suggests a deepening of AI’s domain-specific capabilities.

“As AI becomes more specialised, human-machine teams will play a crucial role in advancing these systems,” he argues, emphasising the need for workforce adaptation to leverage these advancements.

Rajat envisions widespread integration of AI into everyday devices, from cars to home appliances.

“We’ll see smaller, more efficient large language models embedded in chips, enabling AI-powered functionality even in devices with limited resources,” he says. He also highlights the growing importance of vision modelling for applications in healthcare and network management.

Alex Guilbault, Head of AI at TELUS

Addressing ethical considerations in generative AI

As generative AI becomes more pervasive, the ethical implications of its use take centre stage. Rajat calls for robust regulatory frameworks, particularly in Europe, to mitigate misuse.

“These regulations must address a broad range of applications, ensuring generative AI serves humanity responsibly,” he says.

Aaron underscores the importance of transparency and trust.

“Ethical considerations should guide the development of human-machine teams, ensuring AI enhances rather than replaces human decision-making,” he states.

Alex emphasises the need for AI systems to prioritise fairness, privacy, and accountability.

“Embedding ethics into every stage of AI development is essential to maintain public trust and prevent unintended consequences,” he says.

Rajat Ahluwalia, Vice President of Engineering at Capgemini

Preparing for a generative AI future

The panel concluded by reiterating the transformative potential of generative AI. From autonomous networks to AI-powered devices, the technology is poised to reshape industries and redefine how we interact with machines. However, achieving these benefits requires a balanced approach, integrating innovation with ethical safeguards and regulatory oversight.