Social and Behavioral Sciences Commons^™

Introduction To The Special Issue On Advanced Technologies In Assessment: A Science-Practice Concern, Tara S. Behrend, Richard N. Landers

Personnel Assessment and Decisions

No abstract provided.

People's Self-Reported Encounters Of Perceiving Mind In Artificial Intelligence, Daniel Burton Shank, Alexander Gott

Psychological Science Faculty Research & Creative Works

This article presents the data from two surveys that asked about everyday encounters with artificial intelligence (AI) systems that are perceived to have attributes of mind. In response to specific attribute prompts about an AI, the participants qualitatively described a personally-known encounter with an AI. In survey 1 the prompts asked about an AI planning, having memory, controlling resources, or doing something surprising. In survey 2 the prompts asked about an AI experiencing emotion, expressing desires or beliefs, having human-like physical features, or being mistaken for a human. The original responses were culled based on the ratings of multiple coders …

The Right To Human Intervention: Law, Ethics And Artificial Intelligence, Maria Kanellopoulou - Botti, Fereniki Panagopoulou, Maria Nikita, Anastasia Michailaki

Computer Ethics - Philosophical Enquiry (CEPE) Proceedings

The paper analyses the new right of human intervention in use of information technology, automatization processes and advanced algorithms in individual decision-making activities. Art. 22 of the new General Data Protection Regulation (GDPR) provides that the data subject has the right not to be subject to a fully automated decision on matters of legal importance to her interests, hence the data subject has a right to human intervention in this kind of decisions.

Make History Accessible: The Case For Youtube, Rohit Kandala

Honors Scholar Theses

Public interest in history is alarmingly low, and this thesis aims to help reverse that trend by recommending the adoption of YouTube as history’s community tool. The majority of this thesis assesses YouTube’s merits as a suitable platform for enthusiasts and professionals alike to share their interests and thereby grow the public’s interest in history. This paper also includes other authors' sentiments on digital history and incorporates it into the argument.

Review Of Algorithms Of Oppression: How Search Engines Reinforce Racism, Yvonne C. Garrett

Journal of Contemporary Archival Studies

In recent years, the idea that the algorithms behind for-profit search engines are somehow neutral or unbiased has been heavily critiqued but for those who still hold onto a belief of objectivity and accuracy, Safiya Umoja Noble presents a clear and well-researched argument against such naiveté. These algorithms and the searches they drive are instead, Noble argues, a part of systemic structural oppression around race and gender. For Noble, Google Search’s algorithms are structured in a way that supports dominant narratives reflecting hegemonic frameworks and these same frameworks are an integral part of the structured oppression of women and people …

Recipe For Disaster, Zac Travis

MFA Thesis Exhibit Catalogs

Today’s rapid advances in algorithmic processes are creating and generating predictions through common applications, including speech recognition, natural language (text) generation, search engine prediction, social media personalization, and product recommendations. These algorithmic processes rapidly sort through streams of computational calculations and personal digital footprints to predict, make decisions, translate, and attempt to mimic human cognitive function as closely as possible. This is known as machine learning.

The project Recipe for Disaster was developed by exploring automation in technology, specifically through the use of machine learning and recurrent neural networks. These algorithmic models feed on large amounts of data as a …

The Global Disinformation Order: 2019 Global Inventory Of Organised Social Media Manipulation, Samantha Bradshaw, Philip N. Howard

Copyright, Fair Use, Scholarly Communication, etc.

Executive Summary

Over the past three years, we have monitored the global organization of social media manipulation by governments and political parties. Our 2019 report analyses the trends of computational propaganda and the evolving tools, capacities, strategies, and resources.

1. Evidence of organized social media manipulation campaigns which have taken place in 70 countries, up from 48 countries in 2018 and 28 countries in 2017. In each country, there is at least one political party or government agency using social media to shape public attitudes domestically.

2.Social media has become co-opted by many authoritarian regimes. In 26 countries, computational propaganda …

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …

Data Mining And The Challenges Of Protecting Employee Privacy Under U.S. Law, Pauline Kim

Scholarship@WashULaw

Concerns about employee privacy have intensified with the introduction of data mining tools in the workplace. Employers can now readily access detailed data about workers’ online behavior or social media activities, purchase background information from data brokers, and collect additional data from workplace surveillance tools. When data mining techniques are applied to this wealth of data, it is possible to infer additional information about employees beyond the information that is collected directly. As a consequence, these tools can alter the meaning and significance of personal information depending upon what other information it is aggregated with and how the larger dataset …