You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction - American Economic Association

Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction by Ajay Agrawal, Joshua S. Gans and Avi Goldfarb. Published in volume 33, issue 2, pages 31-50 of Journal of Economic Perspectives, Spring 2019, Abstract: Recent advances in artificial intelligence are primarily driv...

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Journals
Journal of Economic Perspectives
Spring 2019
Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction

Journal of Economic Perspectives

ISSN 0895-3309 (Print)

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ISSN 1944-7965 (Online)

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Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction

Ajay Agrawal

Joshua S. Gans

Avi Goldfarb

Journal of Economic Perspectives

vol. 33,
no. 2, Spring 2019

(pp. 31–50)

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Article Information

Abstract

Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when the automation of prediction leads to automating decisions versus enhancing decision-making by humans.

Citation

Agrawal, Ajay, Joshua S. Gans, and Avi Goldfarb.

2019.

"Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction."

Journal of Economic Perspectives

33 (2):
31–50
.

DOI: 10.1257/jep.33.2.31

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Additional Materials

Author Disclosure Statement(s)

JEL Classification

C63

Computational Techniques; Simulation Modeling

J23

Labor Demand

J24

Human Capital; Skills; Occupational Choice; Labor Productivity

L23

Organization of Production

M11

Production Management

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</reference>

<statements>
1. Because prediction is an input to decision-making, cheaper prediction raises the value of complementary human judgment, making AI's labor-market impact ambiguous—it can automate decisions or enhance human decision-making, depending on task structure
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.