How Technology Impacts and Compares to Humans in Socially Consequential Arenas
–arXiv.org Artificial Intelligence
One of the main promises of technology development is for it to be adopted by people, organizations, societies, and governments -- incorporated into their life, work stream, or processes. Often, this is socially beneficial as it automates mundane tasks, frees up more time for other more important things, or otherwise improves the lives of those who use the technology. However, these beneficial results do not apply in every scenario and may not impact everyone in a system the same way. Sometimes a technology is developed which produces both benefits and inflicts some harm. These harms may come at a higher cost to some people than others, raising the question: {\it how are benefits and harms weighed when deciding if and how a socially consequential technology gets developed?} The most natural way to answer this question, and in fact how people first approach it, is to compare the new technology to what used to exist. As such, in this work, I make comparative analyses between humans and machines in three scenarios and seek to understand how sentiment about a technology, performance of that technology, and the impacts of that technology combine to influence how one decides to answer my main research question.
arXiv.org Artificial Intelligence
Nov-2-2022
- Country:
- Asia
- China (0.04)
- Middle East > Republic of Türkiye (0.04)
- Russia (0.04)
- Europe
- North America
- Canada > Ontario
- Toronto (0.13)
- Puerto Rico > San Juan
- San Juan (0.04)
- United States
- New York > New York County
- New York City (0.04)
- California
- Los Angeles County > Long Beach (0.04)
- San Diego County > San Diego (0.04)
- District of Columbia > Washington (0.04)
- Georgia > Fulton County
- Atlanta (0.04)
- Virginia (0.04)
- Louisiana (0.04)
- Rhode Island > Providence County
- Providence (0.04)
- Florida > Broward County
- Fort Lauderdale (0.04)
- Maryland > Baltimore (0.04)
- South Carolina (0.04)
- New York > New York County
- Canada > Ontario
- Oceania > Australia (0.04)
- Asia
- Genre:
- Research Report
- Experimental Study > Negative Result (0.48)
- New Finding (1.00)
- Research Report
- Industry:
- Media (1.00)
- Banking & Finance (0.92)
- Education (0.67)
- Government
- Health & Medicine
- Consumer Health (1.00)
- Epidemiology (1.00)
- Health Care Providers & Services (1.00)
- Health Care Technology (1.00)
- Pharmaceuticals & Biotechnology (0.67)
- Public Health (0.67)
- Therapeutic Area
- Immunology (1.00)
- Infections and Infectious Diseases (1.00)
- Psychiatry/Psychology > Mental Health (1.00)
- Pulmonary/Respiratory Diseases (0.67)
- Law (1.00)
- Information Technology
- Security & Privacy (1.00)
- Services (1.00)
- Leisure & Entertainment (0.92)
- Marketing (1.00)
- Law Enforcement & Public Safety > Crime Prevention & Enforcement (0.67)
- Technology:
- Information Technology
- Artificial Intelligence
- Cognitive Science (0.88)
- Issues > Social & Ethical Issues (0.67)
- Machine Learning
- Neural Networks > Deep Learning (1.00)
- Performance Analysis > Accuracy (1.00)
- Statistical Learning (1.00)
- Natural Language (1.00)
- Representation & Reasoning > Agents (0.92)
- Vision > Face Recognition (1.00)
- Biomedical Informatics > Clinical Informatics (0.67)
- Communications > Social Media (1.00)
- Data Science > Data Mining
- Big Data (0.93)
- Information Management (1.00)
- Security & Privacy (1.00)
- Sensing and Signal Processing > Image Processing (1.00)
- Artificial Intelligence
- Information Technology