Society on English AI Terms Dictionary

Moral Outsourcing

Sat, 18 Jul 2026 10:07:54 +0000

Definition

Moral outsourcing refers to the phenomenon where humans cede ethical judgment and responsibility to algorithms or AI systems. This occurs when people rely on automated decisions for morally significant outcomes, such as hiring, lending, or justice, without fully understanding or questioning the underlying logic. Critics argue this can lead to accountability gaps, where no single entity is responsible for harmful outcomes. It raises questions about human agency, bias amplification, and the erosion of personal moral engagement in complex societal interactions.

Is This What We Want?

Sat, 18 Jul 2026 10:03:27 +0000

Definition

This phrase represents a pivotal question in AI ethics and governance, prompting stakeholders to assess whether deployed AI technologies align with human values and public interest. It involves scrutinizing algorithmic bias, privacy implications, transparency, and accountability. The concept encourages proactive ethical review before and during AI deployment, ensuring that technological advancements do not inadvertently perpetuate discrimination or cause social harm, thus bridging the gap between technical capability and moral responsibility.

Gender digital divide

Sat, 18 Jul 2026 09:59:20 +0000

Definition

This sociotechnical concept highlights disparities where women and girls often have less access to digital devices, internet connectivity, and digital literacy skills compared to men and boys. These gaps are influenced by socioeconomic factors, cultural norms, and safety concerns. Addressing this divide is crucial for ensuring equitable participation in the digital economy and leveraging AI technologies for inclusive development without reinforcing existing biases.

Summary

The gender digital divide refers to the gap between men and women in access to, usage of, and benefits derived from information and communication technologies.

Artificial intelligence controversies

Sat, 18 Jul 2026 09:46:35 +0000

Definition

AI controversies encompass the wide range of ethical, legal, and societal disputes arising from artificial intelligence technologies. Key issues include algorithmic bias, privacy violations, job displacement, and the existential risk of superintelligence. These debates involve stakeholders from governments, tech companies, academia, and civil society. The controversies often highlight the tension between technological progress and human values, necessitating robust regulatory frameworks and transparent development practices to ensure AI benefits humanity equitably.

Artificial intelligence and elections

Sat, 18 Jul 2026 09:46:04 +0000

Definition

This term encompasses the dual role of AI in democratic processes: enhancing efficiency through data analytics and posing risks via manipulation. On one hand, AI helps campaigns target voters and optimize messaging. On the other, it enables the creation of deepfakes, automated bot networks, and micro-targeted disinformation that can undermine election integrity. Regulatory bodies and tech companies are increasingly focusing on detecting AI-generated content and ensuring transparency to protect the fairness and trustworthiness of electoral outcomes.