07/29/2024 | News release | Distributed by Public on 07/29/2024 04:59
2024-07-29. JournalismAI findings point to the persistent gap between small and legacy newsrooms in integrating and implementing AI, underscoring the need for collaboration among news organisations and academia. Lakshmi Sivadas, Senior Programme Manager, shares insights and use cases.
by Neha Gupta[email protected]| July 29, 2024
JournalismAI is a project of Polis, the journalism thinktank of the London School of Economics. This global initiative is funded by Google News Initiative and empowers news organisations to use AI responsibly.
In 2019, when JournalismAI came into being, the team released their first report on the use of AI in newsrooms globally. Their second report, in 2023, talked about the use cases of GenAI in newsrooms around the world. Of the 105 newsrooms interviewed for this report, 75 percent noted that they use AI for functionalities across the news cycle - from news gathering to production to distribution.
An issue common between JournalismAI's 2019 and 2023 reports were the gaps between small and legacy news organisations, in terms of resources, staff strength and funding required to use AI at scale, said Lakshmi Sivadas, Senior Programme Manager at JournalismAI, Polis LSE, at our recent AI Summit in Bengaluru.
And to bridge that gap, she said, comes the need for collaboration.
The primary reason for newsrooms to use AI is to improve journalistic and organisational efficiency and productivity, Sivadas said. She cited current use cases from the JournalismAI fellowship across news gathering, productionand distribution.
News gathering
News production
News distribution
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Sivadas listed a few guiding principles learnt from working on these reports with journalists and technologists.
First is that AI should perform tasks that humans realistically cannot. "The Idea here is to not throw AI at every little thing, but to problem solve through that lens and see if AI is indeed the way to go. Perhaps, a simpler tech or a human can do that task," she said.
Second, AI should be a catalyst for bridge building. The report findings emphasise that collaboration between news organisations, intra and inter-departmental collaboration, and collaboration between academics and news organisations will be vital, going forward. "The idea is to build interdisciplinary teams and have a more diverse information ecosystem," she said.
Third, AI should improve user experiences. "The focus here is on the fact that ultimately, it's your users who will be interacting with the system, which very few people give thought to," she noted. "The recent Reuters report talks about how GenAI is preferred by younger generations. This doesn't mean you cater to only that one segment, but audience-based segmentation is key."
Finally, AI should do no harm and mitigate harm. This could be possible through improving transparency with consumers while building AI systems, Sivadas said. "AI use cases go beyond just text/headline generation and translation. It's important to educate the consumer, and disclose the use of AI in all cases," she said, adding, "It's also essential for every newsroom to have an ethics panel in every newsroom."
Sivadas said their research foresees AI to have continued use in finding needles in editorial data haystacks, enhancing the practicality of how journalists work. She listed a few examples.
"We will see improved, and in most cases, completely new forms of user experiences to meet those information needs," Sivadas said, citing two examples of chatbots:
"AI will drastically change the way we interact with information. To keep up we must educate, introspect, and be open to adapt to newer forms of journalism which may or may not involve AI. We need everyone who is interested to have a seat at the table of making these AI decisions," Sivadas said.
JournalismAI's 2023 report chalked out four potential areas for the future integration of AI.: