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Episode Transcript
The theory through soft power through code. Thanks for joining
the Fortune Factor podcast.
Speaker 2 (00:06):
AI systems aren't storming parliaments. They're quietly reshaping how decisions
are made, how problems are prioritized, and how people perceive reality.
The influence is subtle, systemic, and often untraceable. The key
mechanisms of influence One predictive modeling in governance.
Speaker 1 (00:25):
Governments use AI to forecast crime, economic trends, and public
health risks.
Speaker 2 (00:31):
These models often guide policy decisions, but they're built on
historical data, which can embed past biases.
Speaker 1 (00:38):
Example, predictive policing tools have been shown to disproportionately target
marginalized communities.
Speaker 2 (00:44):
Two Algorithmic bias. AI systems trained on skewed data can
reinforce systemic inequalities. Biases in hiring, lending, and even disaster
response have been documented.
Speaker 1 (00:56):
Government decisions based on these outputs risk perpetuation injustice under
the guise of objectivity. Three.
Speaker 2 (01:03):
Information manipulation.
Speaker 1 (01:05):
AI is used to curate news feeds, political ads, and
search results, shaping public opinion without overt censorship.
Speaker 2 (01:13):
Generative AI enables hyper targeted disinformation campaigns, deep bas and
synthetic narratives. In twenty twenty four. Fake vobocalls and AI
generated endorsements disrupted elections in the US and Slovakia.
Speaker 1 (01:27):
Four Global governance tug of war.
Speaker 2 (01:30):
China launched the World AI Cooperation Organization to counter Western
dominance in AI rulemaking.
Speaker 1 (01:37):
The EU's AI Code of Practice sets strict standards for
transparency and ethics, but faces pushed back from tech giants.
These frameworks reflect competing visions inclusive governance versus corporate lead
innovation
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