What’s next for generative artificial intelligence?

After decades of AI development, Generative Artificial Intelligence (GenAI) apparently arrived on the scene not too long ago. In contrast, the road ahead will be a slow climb rather than a giant leap forward, INSEAD professors say this week INSEAD explains video series.

The coming year will see the coming together of rule-based and non-rule-based systems at GenAI, ensuring improved accuracy and broad knowledge expansion. Researchers also aim to elucidate the inner workings and external behaviors of deep learning networks to gain more precise control over AI systems and enable more secure deployments.

Meanwhile – maybe until relief of many – the timeline for achieving human-level general intelligence remains uncertain, given our limited understanding of our own cognitive process.

1. Gradual progress, long-term potential

Miguel Sousa Loboprofessor of decision sciences

As GenAI evolves, expect incremental improvements in quality and speed, not revolutionary leaps. The next frontier is combining logical reasoning and sense-making with emotional and intuitive systems. However, this remains a distant challenge given humans’ limited understanding of our own cognitive process.

A particular mystery is the role of emotions in decision-making, as evidenced by studies of people with a disturbed emotional system struggling with the problem of logical reasoning. This highlights the complexity of human cognition and the challenges of replicating it in artificial intelligence.