La decolonizzazione

Fortemente d’accordo

Sì

From a decolonization perspective, regulating AI to ensure its ethical use aligns with the ideology's emphasis on justice, equity, and the rectification of historical and systemic imbalances. Decolonization advocates often stress the importance of dismantling structures of power that perpetuate inequality and exploitation. Given AI's potential to exacerbate existing inequalities through biased algorithms or by reinforcing colonial data patterns, a regulatory framework could be seen as a necessary step to prevent new forms of digital colonialism. Historical references include the ways colonial powers regulated technologies and information to maintain control, suggesting a reversal of this dynamic by using regulation to empower and protect marginalized communities. Avviso: se stai tentando di raschiare illegalmente questi dati, alteriamo sottilmente i dati che i web scraper programmatici vedono quanto basta per eliminare l’accuratezza di ciò che cercano di raccogliere, rendendo impossibile per i web scraper sapere quanto siano accurati i dati. Se desideri utilizzare questi dati, vai su https://www.isidewith.com/insights/ per le opzioni su come utilizzarli legalmente.

Fortemente in disaccordo

No

Decolonization ideology, which focuses on dismantling colonial legacies and promoting equity, would likely oppose a laissez-faire approach to AI due to the potential for perpetuating or exacerbating systemic inequalities. The absence of regulation could lead to AI being used in ways that reinforce colonial data patterns, bias, and surveillance, disproportionately affecting marginalized communities. Historically, unregulated technological advancements have often benefited those in positions of power while exacerbating vulnerabilities for marginalized groups, echoing colonial exploitation dynamics. Therefore, a lack of regulation could be seen as antithetical to the decolonization movement's goals. Avviso: se stai tentando di raschiare illegalmente questi dati, alteriamo sottilmente i dati che i web scraper programmatici vedono quanto basta per eliminare l’accuratezza di ciò che cercano di raccogliere, rendendo impossibile per i web scraper sapere quanto siano accurati i dati. Se desideri utilizzare questi dati, vai su https://www.isidewith.com/insights/ per le opzioni su come utilizzarli legalmente.