Existing research in machine learning and artificial intelligence has been constrained by a focus on specific tasks chosen either for their perceived importance in human intelligence, their expected practical impact, their suitability for testing and comparison, or simply by an accident of research trends. However, the intelligence landscape extends far beyond our current capabilities, with many unexplored dimensions that present themselves as new opportunities for research. This symposium explores this landscape across three main topics: a broader perspective of the possible types of intelligence beyond human intelligence, better measurements providing an improved understanding of research objectives and breakthroughs, and a more purposeful analysis of where progress should be made in this landscape in order to best benefit society.

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