A survey on the explainability of supervised machine learning

N Burkart, MF Huber - Journal of Artificial Intelligence Research, 2021 - jair.org
Predictions obtained by, eg, artificial neural networks have a high accuracy but humans
often perceive the models as black boxes. Insights about the decision making are mostly …

Human-versus artificial intelligence

JEH Korteling, GC van de Boer-Visschedijk… - Frontiers in artificial …, 2021 - frontiersin.org
AI is one of the most debated subjects of today and there seems little common
understanding concerning the differences and similarities of human intelligence and artificial …

[图书][B] The economics of biodiversity

P Dasgupta - 2024 - books.google.com
We are part of Nature, not separate from it. We rely on Nature to provide us with food, water
and shelter; regulate our climate and disease; maintain nutrient cycles and oxygen …

Consumer acceptance of novel food technologies

M Siegrist, C Hartmann - Nature Food, 2020 - nature.com
Novel food technologies are important for food security, safety and sustainability.
Consumers, however, are often hesitant to accept them. In this narrative Review, we …

Online panels in social science research: Expanding sampling methods beyond Mechanical Turk

J Chandler, C Rosenzweig, AJ Moss… - Behavior research …, 2019 - Springer
Abstract Amazon Mechanical Turk (MTurk) is widely used by behavioral scientists to recruit
research participants. MTurk offers advantages over traditional student subject pools, but it …

How Elon Musk's twitter activity moves cryptocurrency markets

L Ante - Technological Forecasting and Social Change, 2023 - Elsevier
Elon Musk, one of the richest individuals in the world, is considered a technological
visionary and has a social network of over 110 million followers on social media platform …

The multiple streams framework: Structure, limitations, prospects

N Zahariadis - Theories of the policy process, second edition, 2019 - taylorfrancis.com
This chapter provides a panoramic view of the lens by presenting its assumptions and
guiding logic. It outlines the main structural elements of the framework. The chapter …

[PDF][PDF] Machine psychology: Investigating emergent capabilities and behavior in large language models using psychological methods

T Hagendorff - arXiv preprint arXiv:2303.13988, 2023 - cybershafarat.com
Large language models (LLMs) are currently at the forefront of intertwining AI systems with
human communication and everyday life. Due to rapid technological advances and their …

Dark patterns at scale: Findings from a crawl of 11K shopping websites

A Mathur, G Acar, MJ Friedman, E Lucherini… - Proceedings of the …, 2019 - dl.acm.org
Dark patterns are user interface design choices that benefit an online service by coercing,
steering, or deceiving users into making unintended and potentially harmful decisions. We …

Rulers of the world, unite! The challenges and opportunities of artificial intelligence

A Kaplan, M Haenlein - Business Horizons, 2020 - Elsevier
A decade ago, we published an article in Business Horizons about the challenges and
opportunities of social media with a call to action:“Users of the world, unite!” To celebrate its …