[Paper Review] The Future of Artificial Intelligence and its Social, Economic and Ethical Consequences

Burhan Rashid Hussein, Halimu Chongomweru+1 more|arXiv (Cornell University)|Jan 9, 2021

Big Data and Business Intelligence4 citations

TL;DR

This paper examines the social, economic, and ethical implications of artificial intelligence's rapid advancement, tracing its evolution and analyzing key challenges such as job displacement, algorithmic bias, and data privacy. It provides a multidisciplinary overview to inform stakeholders and newcomers about the broader impacts of AI beyond technological innovation.

ABSTRACT

Recent development in AI has enabled the expansion of its application to multiple domains. From medical treatment, gaming, manufacturing to daily business processes. A huge amount of money has been poured into AI research due to its exciting discoveries. Technology giants like Google, Facebook, Amazon, and Baidu are the driving forces in the field today. But the rapid growth and excitement that the technology offers obscure us from looking at the impact it brings on our society. This short paper gives a brief history of AI and summarizes various social, economic and ethical issues that are impacting our society today. We hope that this work will provide a useful starting point and perhaps reference for newcomers and stakeholders of the field.

Motivation & Objective

• To analyze the societal, economic, and ethical consequences of accelerating AI development.
• To provide a foundational overview for newcomers and stakeholders in AI research and policy.
• To highlight risks such as job automation, inequality, and algorithmic bias in AI deployment.
• To contextualize current AI trends within historical developments and technological drivers.
• To encourage responsible innovation by raising awareness of unintended societal outcomes.

Proposed method

• Conducting a literature-based review of AI's historical development and recent applications.
• Identifying key domains where AI is being deployed, including healthcare, business, and manufacturing.
• Analyzing social impacts through case studies of AI adoption in industry and public services.
• Evaluating economic consequences such as labor market disruption and productivity shifts.
• Examining ethical concerns including data privacy, algorithmic fairness, and transparency.
• Synthesizing findings into a multidisciplinary framework for AI governance and policy.

Experimental results

Research questions

• RQ1 What are the primary social consequences of widespread AI adoption across different sectors?
• RQ2 How is AI reshaping labor markets and economic structures globally?
• RQ3 What ethical risks emerge from AI systems in decision-making roles?
• RQ4 How do historical developments in AI inform current challenges and opportunities?
• RQ5 What policy and governance frameworks are needed to ensure equitable AI deployment?

Key findings

• AI is being rapidly adopted across healthcare, gaming, manufacturing, and business processes, driven by major technology firms.
• Significant investment in AI research has led to transformative applications, but also raised concerns about societal disruption.
• Job displacement due to automation is a major economic concern, particularly in routine and manual labor sectors.
• Ethical issues such as bias in algorithms and lack of transparency are prevalent in real-world AI systems.
• Data privacy and surveillance concerns are growing as AI systems process vast amounts of personal information.
• The paper calls for proactive policy and ethical frameworks to guide responsible AI development and deployment.