Artificial Intelligence (AI) is increasing the gap between journalistic news operations in the Global South and news media in the Global North. The two terms are used to roughly distinguish the economically and technologically advanced countries in the northern hemisphere \u2013 e.g. all the Nordic countries \u2013 from the less economically and technologically countries mostly in the South \u2013 e.g. all the Asian countries.<\/p>\n\n\n\n
The uneven impact of AI in news operations is among the conclusions in a report from JournalismAI. Generating Change \u2013 A global survey of what news organisations are doing with artificial intelligence. JournalismAI is a global initiative established to empower news organisations to use artificial intelligence responsibly.<\/p>\n\n\n\n
The Global North\/South terminology does not refer to a \u201cgeographic region in any traditional sense but rather to the relative power and wealth of countries in distinct parts of the world\u201d<\/p>\n\n\n\n
In the executive summary of the report, the researchers conclude that:<\/p>\n\n\n\n
Newsrooms globally contend with challenges related to AI integration, but the challenges are more pronounced for newsrooms in the Global South. Respondents highlighted language, infrastructural, and political challenges.<\/p>\n\n\n\n
Some challenges to AI adoption are interrelated. Low internet penetration leads to low digital literacy, which makes it easier for disinformation to thrive. Similarly, resource constraints make it difficult to hire or even find AI experts.<\/p>\n\n\n\n
A Philippines-based respondent summarized how resource constraints, knowledge gaps, and language barriers intersect:<\/p>\n\n\n\n
Since it takes lots of resources to develop AI applications, the larger media organizations and state owned news operations will have an advantage. it is feared that smaller newsrooms that focus on public interest and accountability journalism will struggle to survive.<\/p>\n\n\n\n
\u201cThis could have significant implications for the entire news ecosystem,\u201d the report states.<\/p>\n\n\n\n
\u201cEven if local AI models were abundantly available, trust would remain an issue. Discussing mobile application \u201cAllam\u201d, a Saudi Government-developed chatbot similar to ChatGPT, one respondent explained how such projects remain tied to political considerations, diminishing user trust in such models:<\/p>\n\n\n\n
The report adds:<\/p>\n\n\n\n
\u201cIt is important to note that concerns about AI technologies\u2019 enablement of government surveillance and control are not unique to the Global South and have been intrinsic to critical discussions of AI technologies in the Global North as well. As early as 2013, Edward Snowden\u2019s revelations exposed in detail the interdependencies between governments and technology companies.\u201d<\/p>\n\n\n\n
\u201cThe PRISM program illustrated how the US government utilised the surveillance infrastructure built by technology companies like Google and Facebook using the data they collected for marketing purposes to advance its own surveillance practices.\u201d<\/p>\n\n\n\n
Despite the myriad complex challenges newsrooms in Global South countries face, respondents from the region\u2019s newsrooms expressed enthusiasm for building capacity in, and sharing AI expertise. Arguably, they have to if they want to survive as AI is transforming journalism.<\/p>\n\n\n\n
This article was run through ChatGPT to help improve the language. <\/strong>Below is what ChatGPT suggested. Do you not \u2013 as a reader \u2013 agree that the suggested changes would have given you a better reading experience? <\/em><\/p>\n\n\n\n ChatGPT:<\/strong> Here are some suggested language improvements for the text:<\/em><\/p>\n\n\n\n Original: \u201cArtificial Intelligence (AI) is increasing the gap between journalistic news operations in the Global South and news media in the Global North.\u201d<\/em> Original: \u201cThe two terms are used to roughly distinguish the economically and technologically advanced countries in the northern hemisphere \u2013 e.g. all the Nordic countries \u2013 from the less economically and technologically countries mostly in the South \u2013 e.g. all the Asian countries.\u201d<\/em> Original: \u201cThe uneven impact of AI in news operations is among the conclusions in a report from JournalismAI.\u201d<\/em> Original: \u201cThe Global North\/South terminology does not refer to a \u201cgeographic region in any traditional sense but rather to the relative power and wealth of countries in distinct parts of the world.\u201d<\/em> Original: \u201cArtificial Intelligence (AI) continues to be unevenly distributed among small and large newsrooms and regionally among Global South and Global North countries.\u201d<\/em> Original: \u201cThe social and economic benefits of AI are geographically concentrated in the Global North, which enjoy the infrastructure and resources, while many countries in the Global South grapple with the social, cultural, and economic repercussions of post-independence colonialism.\u201d<\/em> Original: \u201cSome challenges to AI adoption are interrelated.\u201d<\/em> Original: \u201cSince it takes lots of resources to develop AI applications, the larger media organisations and state owned news operations will have an advantage.\u201d<\/em> Original: \u201cit is feared that smaller newsrooms that focus on public interest and accountability journalism will struggle to survive.\u201d<\/em> Original: \u201cEven if local AI models were abundantly available, trust would remain an issue.\u201d<\/em> Original: \u201cThe PRISM program illustrated how the US government utilised the surveillance infrastructure built by technology companies like Google and Facebook using the data they collected for marketing purposes to advance its own surveillance practices.\u201d<\/em> Original: \u201cDespite the myriad complex challenges newsrooms in Global South countries face, respondents from the region\u2019s newsrooms expressed enthusiasm for building capacity in, and sharing AI expertise.\u201d<\/em> These improvements aim to enhance clarity and readability while maintaining the original content\u2019s meaning.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":" Artificial Intelligence (AI) is increasing the gap between journalistic news operations in the Global South and news media in the Global North. 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Improved: \u201cArtificial Intelligence (AI) is widening the disparity between journalistic news operations in the Global South and those in the Global North.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cThese terms are employed to broadly differentiate economically and technologically advanced countries in the northern hemisphere, such as the Nordic nations, from less economically and technologically developed countries primarily situated in the South, including Asian countries.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cThe report from JournalismAI highlights the unequal impact of AI in news operations.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cThe terminology of Global North\/South does not strictly correspond to traditional geographic regions but rather reflects the varying power and wealth of countries across different parts of the world.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cThe distribution of Artificial Intelligence (AI) remains uneven, both across small and large newsrooms and regionally among Global South and Global North countries.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cThe social and economic benefits of AI tend to concentrate geographically in the Global North, where robust infrastructure and resources are available, while many countries in the Global South contend with the social, cultural, and economic challenges stemming from post-independence colonialism.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cCertain challenges in adopting AI are interconnected.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cGiven the resource-intensive nature of AI application development, larger media organizations and state-owned news operations are poised to enjoy an advantage.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cThere is concern that smaller newsrooms dedicated to public interest and accountability journalism may face survival challenges.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cEven if local AI models were readily accessible, trust would still be a significant concern.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cThe PRISM program demonstrated how the US government leveraged the surveillance infrastructure established by technology giants like Google and Facebook, using the data collected for marketing purposes to enhance its surveillance capabilities.\u201d<\/em><\/p>\n\n\n\n
Improved: \u201cDespite the numerous complex challenges confronting newsrooms in Global South countries, respondents from these regions exhibited enthusiasm for capacity building and sharing AI expertise.\u201d<\/em><\/p>\n\n\n\n