English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Technological advances of virtually every kind pose risks to societyincluding fairness and bias. We review a long-standing wisdom that a widespreadpractical deployment of any technology may produce adverse side effectsmisusing the knowhow. This includes AI but AI systems are not solelyresponsible for societal risks. We describe some of the common and AI specificrisks in health industries and other sectors and propose both broad andspecific solutions. Each technology requires very specialized and informedtracking, monitoring and creative solutions. We postulate that AI systems areuniquely poised to produce conceptual and methodological solutions to bothfairness and bias in automated decision-making systems. We propose a simpleintelligent system quotient that may correspond to their adverse societalimpact and outline a multi-tier architecture for producing solutions ofincreasing complexity to these risks. We also propose that universities mayconsider forming interdisciplinary Study of Future Technology Centers toinvestigate and predict the fuller range of risks posed by technology and seekboth common and AI specific solutions using computational, technical,conceptual and ethical analysis

Artificial Tikkun Olam: AI Can Be Our Best Friend in Building an Open Human-Computer Society