Top ten behavioral biases in project management: An overview

B Flyvbjerg - Project Management Journal, 2021 - journals.sagepub.com
Behavioral science has witnessed an explosion in the number of biases identified by
behavioral scientists, to more than 200 at present. This article identifies the 10 most …

Less is more: Antibiotics at the beginning of life

M Stocker, C Klingenberg, L Navér, V Nordberg… - Nature …, 2023 - nature.com
Antibiotic exposure at the beginning of life can lead to increased antimicrobial resistance
and perturbations of the developing microbiome. Early-life microbiome disruption increases …

The labor market impacts of technological change: From unbridled enthusiasm to qualified optimism to vast uncertainty

D Autor - 2022 - nber.org
This review considers the evolution of economic thinking on the relationship between digital
technology and inequality across four decades, encompassing four related but intellectually …

Improving human-AI partnerships in child welfare: understanding worker practices, challenges, and desires for algorithmic decision support

A Kawakami, V Sivaraman, HF Cheng… - Proceedings of the …, 2022 - dl.acm.org
AI-based decision support tools (ADS) are increasingly used to augment human decision-
making in high-stakes, social contexts. As public sector agencies begin to adopt ADS, it is …

Humans inherit artificial intelligence biases

L Vicente, H Matute - Scientific Reports, 2023 - nature.com
Artificial intelligence recommendations are sometimes erroneous and biased. In our
research, we hypothesized that people who perform a (simulated) medical diagnostic task …

New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications

OA Andreassen, GFL Hindley, O Frei… - World …, 2023 - Wiley Online Library
Psychiatric genetics has made substantial progress in the last decade, providing new
insights into the genetic etiology of psychiatric disorders, and paving the way for precision …

The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?

J Mökander, P Juneja, DS Watson, L Floridi - Minds and Machines, 2022 - Springer
On the whole, the US Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic
approach to balancing the benefits and risks of automated decision systems. Yet there is still …

[图书][B] How big things get done: The surprising factors that determine the fate of every project, from home renovations to space exploration and everything in between

B Flyvbjerg, D Gardner - 2023 - books.google.com
One of The Economist's Best Books of 2023 The secrets to successfully planning and
delivering ambitious, complex projects on any scale—from home renovation to space …

How child welfare workers reduce racial disparities in algorithmic decisions

HF Cheng, L Stapleton, A Kawakami… - Proceedings of the …, 2022 - dl.acm.org
Machine learning tools have been deployed in various contexts to support human decision-
making, in the hope that human-algorithm collaboration can improve decision quality …

Fragile algorithms and fallible decision-makers: lessons from the justice system

J Ludwig, S Mullainathan - Journal of Economic Perspectives, 2021 - aeaweb.org
Algorithms (in some form) are already widely used in the criminal justice system. We draw
lessons from this experience for what is to come for the rest of society as machine learning …