Should fully autonomous AI agents be developed?

About this episode

The episode explores the implications and challenges of developing fully autonomous AI agents in enterprise settings.

In this episode, Oliver Cronk is joined by colleagues David Rees, Hélène Sauvé, Ivan Mladjenovic and Emma Pearce. Together, they delve into the practical applications and limitations of agentic AI and its implications for enterprise AI deployments. The team shares insights from the 'Infer' research and development projects, through which Scott Logic produced and open-sourced InferLLM (a local, personalised AI agent) and InferESG (which uses AI agents to identify greenwashing in Environmental, Social and Governance reports). With real-world examples and expert perspectives, the panel provides a nuanced view of whether fully autonomous agents are hype or reality in 2025. They discuss the balance between human oversight and automation, and emphasise the importance of transparency and traceability in AI systems. They also consider the ethical considerations of self-building agents and the challenges of ensuring reliable AI outputs. Have a listen to gain a deeper understanding of the evolving landscape of agentic AI and its potential impact on various sectors. Useful links for this episode InferLLM on GitHub – Open-sourced by Scott Logic InferESG on GitHub – Open-sourced by Scott…

People in this episode

Host: Oliver Cronk

Guests: David Rees, Hélène Sauvé, Ivan Mladjenovic, Emma Pearce

Topics covered

• autonomous AI
• agentic AI
• enterprise AI
• ethical considerations
• human oversight
• transparency in AI

Keywords

• agentic AI
• autonomous agents
• AI ethics
• greenwashing
• AI transparency
• InferLLM
• InferESG

Mentioned in this episode

Organizations: Scott Logic

Products: InferLLM, InferESG

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