My work aims to challenge our intuitions about consciousness and encourage creative thinking about its nature.

Exploring consciousness through AI will help us understand our own minds better, including aspects like emotions, creativity, and the mysteries of the mind.

In measuring intuition, one approach is to have individuals engage in creative practices while using neural technology to assess their comfort and creativity levels.

Despite over 20 years of studying consciousness with neuroscientists, we have not made any progress in understanding how consciousness comes to be, which I find categorically different from anything else science has studied.

Many intuitions about consciousness are shattered by current neuroscience research, revealing that our conscious experiences are often constructed from subconscious processes.

We aim to create objective and reliable methods to measure mental processes, moving beyond traditional questionnaires that may not always be reliable.

Understanding intuition involves recognizing that our brains constantly mix conscious and unconscious signals, influencing our decisions without our awareness.

The future of consciousness research may involve sharing experiences across individuals, enhancing our understanding of consciousness and its relation to one another.

There's significant potential for breakthroughs by merging different subject areas, and I've always aimed to be multidisciplinary in my own work, integrating neuroscience, machine learning, and computer science.