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The hard problem makes the easy problems hard - a reply to Doerig et al.

Yair Pinto, Timo Stein

Cognitive neuroscience January 1, 2021 DOI: 10.1080/17588928.2020.1838469 via PubMed

Summary

AI-generated from the abstract

The paper argues that the approach of setting aside the hard problem of consciousness—the question of why and how physical processes give rise to subjective experience—to focus only on measuring neural and functional correlates is not feasible. While some researchers advocate 'shut up and measure' as a pragmatic strategy, the authors contend that any data collection about consciousness necessarily involves an implicit or explicit stance on the hard problem itself. Thus, the hard problem cannot be bypassed through purely empirical methods.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Consciousness First-person perspective Functionalism Metacognition
Citations 7
Key finding Collecting data on consciousness requires taking a stance on the hard problem, making it impossible to set aside.

Abstract

In their paper Doerig et al. argue that we should put the hard problem aside and focus on empirical data to solve the 'easy' problems of consciousness - finding the neural and functional correlates of consciousness. In other words 'shut up and measure'. This has worked well with other thorny issues, such as explaining life, so why not adopt this approach here? We argue that despite the popularity of this view it is not feasible. In order to collect any consciousness data one needs to take an implicit or explicit stance on the hard problem.

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