• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • /Publications
  • /Tech News
  • /Research
  • Home
  • / ...
  • /Tech News
  • /Research

AI Industrial Complex: The Challenge of AI Ethics

By IEEE Computer Society Team on
May 12, 2022

The Challenges of AI EthicsThe Challenges of AI EthicsArtificial Intelligence (AI) is rapidly becoming an intrinsic part of numerous technological advances, as seen in such domains as autonomous systems, data analytics, financial systems, social media applications, and so on. Interested parties have demonstrated various reactions to the explosive growth of AI technologies and their implications. Let's take a look at multiple sides of the AI ethics discussion.


Want More Tech News? Subscribe to ComputingEdge Newsletter Today!


Those Concerned


Prominent researchers signed and published an open letter expressing concern in 2015. The principal concern expressed was regarding the possibility of malicious use of autonomous weapons controlled by AI decision-making without human intervention. Recently, concerned AI engineers and scientists have requested that the United Nations (UN) regulate the use of such weapons. An additional concern is that AI might surpass human expectations and limits and eventually view the human race as a “problem” to be solved—or even eradicated.

Those Less Concerned


Other experts believe that we are a long way off from any of the dangers that critics and concerned scientists propose. They believe the dangers are exaggerated and that the benefits far outweigh the possible concerns. Interestingly, however, members of this camp do not entirely dismiss all the misgivings of those who are more concerned about the future of AI. For example, famed futurist Ray Kurzweil agrees that AI will soon surpass human intelligence, but he proposes that humans use it to augment their own capabilities.

The Realm of AI Ethics

Members of both camps can usually agree that some regulations need to be established for the ethical development and use of AI technologies. Some of the issues that may need to be addressed are:

  • Ownership. Numerous companies are developing AI technologies. Who will own the rights to whatever AI algorithms are developed in the future?
  • Use. What will AI be used for? There are concerns that AI can be improperly used to discriminate, violate privacy, perpetrate crime, or manipulate government.
  • Protection. How can AI be regulated fairly and protected from compromise? And how will laws and regulations be standardized internationally?

As we contemplate the future of AI, IEEE invites you to download and read the complete article, “AI Industrial Complex: The Challenge of AI Ethics” by Ahmad-Reza Sadeghi, Editor-in-Chief of IEEE Security & Privacy Magazine.

LATEST NEWS
From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities
From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Autonomous Observability: AI Agents That Debug AI
Autonomous Observability: AI Agents That Debug AI
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Read Next

From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities

IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT

Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)

Autonomous Observability: AI Agents That Debug AI

Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference

Copilot Ergonomics: UI Patterns that Reduce Cognitive Load

The Myth of AI Neutrality in Search Algorithms

Gen AI and LLMs: Rebuilding Trust in a Synthetic Information Age

FacebookTwitterLinkedInInstagramYoutube
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter