Trustworthy AI: Strategic, Responsible, Safe, Reliable, Scalable

Podcasts

22 Jan

“2025: The Year of Trustworthy AI” on the Ecosystems Show

2025 is the year of Trustworthy AI as organizations worldwide deploy AI-enthused solutions with limited consideration on how to make it safe. It’s not only about evaluating AI from a compliance and risk management perspective, but to more broadly scrutinise if we’re delivering AI that users themselves can trust. Trustworthy AI is top of mind for many people, though there is currently no standard approach to articulating what this means. Can we trust the results? Can we trust that AI is safely used? Is AI going to take our jobs? Will AI grow a personality and conquer the world by turning a society of toasters against us? To truly address this, it must be recognised that Trustworthy AI is more than red teaming, or testing against responsible pillars of AI. It’s about creating a trustworthy experience grounded in good data, exposing cumulative human error and AI hallucinations through monitoring and observability. It’s about building a digital ecosystem that is strategic, responsible, safe, reliable and scalable, ensuring that AI becomes a trusted enabler for humans.

Ana Welch, Mark Smith and Andrew Welch engage in a lively conversation about the changes shaping their personal lives and the technology landscape as they step into 2025. They explore the concept of trustworthy AI, emphasizing the need for organizations to build reliable and safe AI systems. The discussion also touches on the evolving user experience in AI, the future of data interaction without traditional UI, and the importance of data integrity in fostering trust in AI systems. In this conversation, the speakers discuss the critical importance of data quality in AI training, the need for trustworthy AI, the evolving landscape of work and human skills, and the regulatory challenges surrounding AI governance. They emphasize that AI can magnify human errors and that organizations must focus on building a reliable digital ecosystem. The conversation also highlights the necessity for critical thinking and creativity in the workforce of the future, as well as the differing regulatory approaches to AI in various regions.

What You Will Learn:

2025 is seen as a pivotal year for AI and technology.
Trustworthy AI is essential for organizations moving forward.
User experience in AI is shifting away from traditional UI.
Data integrity is crucial for building trust in AI systems.
Organizations need to focus on cohesive frameworks for AI implementation.
The concept of menus in applications may become obsolete.
AI can enhance data accuracy and reduce human error.
Personal changes, like moving to Spain, reflect broader life transitions.
The importance of cultural adaptation in new environments is highlighted.
The conversation emphasizes the need for professionals to adapt to changing technology landscapes. AI can magnify human error due to flawed data.
Trustworthy AI requires a strategic and responsible approach.
Organizations should focus on data quality for AI training.
Critical thinking will be essential in the AI era.
Creativity will be a key skill in future job roles.
Governments need to ensure AI is trustworthy.
The regulatory landscape for AI is complex and evolving.
AI will create new job opportunities that don't exist today.
The pace of innovation in AI varies by region.
AI governance will require navigating different regulatory environments.