Artificial Intelligence in Society

A survey on transfer learning

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Artificial intelligence: A modern approach

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Explaining and Harnessing Adversarial Examples

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Mastering the game of Go without human knowledge

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The future of employment: How susceptible are jobs to computerisation?

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Adversarial examples in the physical world

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Machine learning for molecular and materials science

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Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles

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Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

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Big Data's Disparate Impact

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Private traits and attributes are predictable from digital records of human behavior

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Fair prediction with disparate impact: a study of bias in recidivism prediction instruments

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Explaining Job Polarization: Routine-Biased Technological Change and Offshoring

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Robots at Work

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Planning chemical syntheses with deep neural networks and symbolic AI

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Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

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The Growing Importance of Social Skills in the Labor Market*

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Concrete Problems in AI Safety

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Untitled work

(2016) · International Conference on Machine Learning · Cited by 1,270 · see citing works

What can machine learning do? Workforce implications

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EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis

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The accuracy, fairness, and limits of predicting recidivism

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Automation, skills use and training

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Artificial Intelligence, Automation and Work

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The Competitive Advantage of Nations

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Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years

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The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

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Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective

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Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics

Brynjolfsson, E., Rock, D., & Syverson, C. (2017) · National Bureau of Economic Research · doi:10.3386/w24001 · Cited by 805 · see citing works

The Synthetic Data Vault

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New Health Technologies

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COMPUTING MACHINERY AND INTELLIGENCE

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Functional genomic hypothesis generation and experimentation by a robot scientist

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Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images

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XXII. Programming a computer for playing chess

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Cost-based analysis of autonomous mobility services

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The Impact of Artificial Intelligence on Innovation

Cockburn, I., Henderson, R. M., & Stern, S. (2018) · National Bureau of Economic Research · doi:10.3386/w24449 · Cited by 579 · see citing works

Artificial intelligence: the next digital frontier?

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Human Decisions and Machine Predictions

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(2014) · Digital Commons at University of Maryland Carey Law (University of Maryland Francis King Carey School of Law) · Cited by 524 · see citing works

Human + Machine : Reimagining Work in the Age of AI

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Accountability of AI Under the Law: The Role of Explanation

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The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform

Jagtiani, J., & Lemieux, C. M. (2019) · Financial Management · doi:10.21799/frbp.wp.2018.15 · Cited by 450 · see citing works

Does Transparency Improve Governance?

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Going Digital: Shaping Policies, Improving Lives

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Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share

Autor, D., & Salomons, A. (2018) · National Bureau of Economic Research · doi:10.3386/w24871 · Cited by 429 · see citing works

OECD Digital Economy Outlook 2017

OECD (2017) · OECD Digital Economy Outlook · doi:10.1787/9789264276284-en · Cited by 427 · see citing works

Transparent, explainable, and accountable AI for robotics

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OECD Guidelines for Multinational Enterprises, 2011 Edition

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Big Data: Deep Learning for financial sentiment analysis

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The Next Production Revolution

OECD (2017) · OECD eBooks · doi:10.1787/9789264271036-en · Cited by 358 · see citing works

Embodying Values in Technology: Theory and Practice

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Artificial Intelligence

Kaplan, J. (2016) · doi:10.1093/wentk/9780190602383.001.0001 · Cited by 315 · see citing works

Data-Driven Innovation

OECD (2015) · OECD eBooks · doi:10.1787/9789264229358-en · Cited by 301 · see citing works

OECD Science, Technology and Innovation Outlook 2018

OECD (2018) · OECD science, technology and innovation outlook · doi:10.1787/sti_in_outlook-2018-en · Cited by 255 · see citing works

False Positives, False Negatives, and False Analyses: A Rejoinder to "Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks"

Flores, A. W., Bechtel, K., & Lowenkamp, C. T. (2016) · Federal probation · Cited by 244 · see citing works

Are Ideas Getting Harder to Find?

Bloom, N., Jones, C. I., Reenen, J. M. V., & Webb, M. (2017) · National Bureau of Economic Research · doi:10.3386/w23782 · Cited by 238 · see citing works

General Purpose Technologies "Engines of Growth?"

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An Introduction to Online Platforms and Their Role in the Digital Transformation

OECD (2019) · OECD eBooks · doi:10.1787/53e5f593-en · Cited by 217 · see citing works

Computers and the Future of Skill Demand

Elliott, S. W. (2017) · Educational research and innovation · doi:10.1787/9789264284395-en · Cited by 214 · see citing works

Artificial Intelligence, Economics, and Industrial Organization

Varian, H. R. (2018) · National Bureau of Economic Research · doi:10.3386/w24839 · Cited by 209 · see citing works

AI as the next GPT: a Political-Economy Perspective

Trajtenberg, M. (2018) · National Bureau of Economic Research · doi:10.3386/w24245 · Cited by 205 · see citing works

Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep LearningPreprint

Harkous, H., Fawaz, K., Lebret, R., et al. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1802.02561 · Cited by 197 · see citing works

Job Creation and Local Economic Development 2018

OECD (2018) · Job Creation and Local Economic Development · doi:10.1787/9789264305342-en · Cited by 191 · see citing works

Disparate Impact in Big Data PolicingPreprint

Selbst, A. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2819182 · Cited by 189 · see citing works

Digital Opportunities for Trade in the Agriculture and Food Sectors

Jouanjean, M.-A. (2019) · OECD food, agriculture and fisheries working papers · doi:10.1787/91c40e07-en · Cited by 189 · see citing works

Getting Skills Right: Skills for Jobs Indicators

OECD (2017) · Getting skills right · doi:10.1787/9789264277878-en · Cited by 187 · see citing works

Artificial Intelligence's White Guy Problem

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Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases

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Automated hypothesis generation based on mining scientific literature

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The Value of CCTV Surveillance Cameras as an Investigative Tool: An Empirical Analysis

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Economic Policy for Artificial Intelligence

Agrawal, A. K., Gans, J. S., & Avi Goldfarb, B. (2018) · National Bureau of Economic Research · doi:10.3386/w24690 · Cited by 170 · see citing works

Human-in-the-loop Bayesian optimization of wearable device parameters

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A portrait of innovative start-ups across countries

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Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins

Kasparov, G. (2017) · Cited by 129 · see citing works

Using machine learning to parse breast pathology reports

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Algorithms and Collusion: Competition Policy in the Digital Age

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Automated Vehicles Are Probably Legal in the United States

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Big Data and Predictive Reasonable SuspicionPreprint

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Untitled work

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HoME: a Household Multimodal EnvironmentPreprint

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Prediction machines: the simple economics of artificial intelligence

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Machine Learning Forecasts of Risk to Inform Sentencing Decisions

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Identifying and measuring developments in artificial intelligence

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The Undue Influence of Surveillance Technology Companies on PolicingPreprint

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On the Rise of the FinTechs - Credit Scoring using Digital FootprintsPreprint

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Sorting Through the Safety Data Haystack: Using Machine Learning to Identify Individual Case Safety Reports in Social-Digital Media

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History of Artificial Intelligence

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Technology and innovation in the insurance sector

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The Impact of Big Data on Firm Performance: An Empirical Investigation

Bajari, P., Chernozhukov, V., Hortaçsu, A., & Suzuki, J. (2018) · National Bureau of Economic Research · doi:10.3386/w24334 · Cited by 41 · see citing works

Artificial intelligence for melanoma diagnosis: how can we deliver on the promise?

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Artificial Intelligence, Ethics, and Enhanced Data Stewardship

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Skills and Jobs in the Internet Economy

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Safer Roads with Automated Vehicles?

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AI: Intelligent machines, smart policies

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Beyond Liability

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Artificial intelligence prevails at predicting Supreme Court decisions

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Artificial Intelligence and Privacy

Brooks, C. (2024) · doi:10.1002/9781394310562.ch15 · Cited by 3 · see citing works

Toward a G20 Framework for Artificial Intelligence in the Workplace

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Perspectives on innovation policies in the digital age

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Against Prediction: Profiling, Policing, and Punishing in an Actuarial Age – By Bernard E. Harcourt

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Artificial intelligence, firm growth, and product innovation

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Trust in AI and Its Role in the Acceptance of AI Technologies

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The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence

Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir Kaya, M. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2151730 · Cited by 688 · see citing works

Legal and human rights issues of AI: Gaps, challenges and vulnerabilities

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Artificial Intelligence and Sustainable Decisions

Zhao, J., & Gómez Fariñas, B. (2023) · European Business Organization Law Review · doi:10.1007/s40804-022-00262-2 · Cited by 197 · see citing works

An artificial intelligence educational strategy for the digital transformation

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The ethical use of artificial intelligence in human resource management: a decision-making framework

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Will COVID-19 be the tipping point for the intelligent automation of work? A review of the debate and implications for research

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When machines think for us: The consequences for work and place

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Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach

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In support of “no-fault” civil liability rules for artificial intelligence

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Managing Artificial Intelligence Ethics in Higher Education: A Systematic Framework for Issues and Policy Recommendations

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Shaping the transition: Artificial intelligence and social dialogue

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ИСПОЛЬЗОВAНИЕ ПОТЕНЦИAЛA СОЦИAЛЬНЫХ ПAРТНЕРОВ В ПОДГОТОВКЕ БУДУЩИХ ПЕДAГОГОВ

Атабекова, Б. Б. (2024) · Habaršy. Pedagogika ġylymdary seriâsy · doi:10.51889/2959-5762.2023.80.4.019

DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATION

Mustafa, N. H., Kelesbayev, D., & Alibekova, Z. D. (2018) · The Journal of Economic Research & Business Administration · doi:10.26577/be-2018-2-2141

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Two Kinds of Purposive Action

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A Historic Analysis on Columbus' Action

Zhang-bing, L. (2004)