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India Needs Human-centric AI to Curb Fake News

As the India elections inch closer, Jain said the platform will try its best to analyse the flow of information

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As social media giants fight to curb fake news ahead of the Lok Sabha polls, an Indian-origin tech junkie has stressed it is not enough as the nation needs better human-centric Artificial Intelligence (AI)-based solutions to combat the spread of misinformation.

For Lyric Jain, a 22-year-old Cambridge and MIT graduate, social media platforms and other stakeholders, including the government, may design solutions to fight fake news but there will be glitches, as is with the case with any technology.

“India needs to prepare better as the stakes are high. Facebook is taking the problem of fake news seriously but there are many other digital platforms that aren’t working towards that direction,” Jain told .

Conceived by Jain, Logically has been developed by a diverse team of data scientists, coders, designers and journalists.

Adding a layer of credibility to the Internet to battle misinformation, the Logically platform acts as a real-time, user-friendly filter, ensuring users can quickly consume information that is fair, authentic, credible and trusted (FACT).

“News isn’t just limited to media houses anymore. The idea is to create ‘responsible sharing’ among people,” said Jain.

“Logically will analyse whether the information is fake or not, even if the information is being provided by a well-known journalist from a credible publication,” he added.

Representational image.

When asked how the technology works, Jain replied: “It is a human-centric AI effort”.

“We analyse the content or text, check the metadata that is being mined and see how information is being circulated across networks.

“We then combine these indicators and conclude whether the news is credible or not. Also, our human fact-checking team complies with the international fact-checking standards,” Jain said, adding that it was the fake news and political interference debate around Brexit and the 2016 US Presidential elections that drove him to launch the Logically platform.

As the India elections inch closer, Jain said the platform will try its best to analyse the flow of information.

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Logically taps deep learning algorithms and web graphs of millions of web sites from top publishers around the world to identify top quality sources for trending, quality news, per category, query, or article.

“Logically will look for information that is misleading, distorting or interfering with the elections,” he added. (IANS)

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New AI can Reduce Risk of Suicide Among Youth

AI can help prevent suicide among youth

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Researchers from USC developed an AI that can prevent suicide risks among youth. Lifetime Stock

In a bid to help mitigate the risk of suicide especially among the homeless youth, a team of researchers at University of California (USC) has turned their focus towards Artificial Intelligence (AI).

Phebe Vayanos, an associate director at USC’s Center for Artificial Intelligence in Society (CAIS), and her team have been working over the last couple of years to design an algorithm capable of identifying who in a given real-life social group would be the best persons to be trained as “gatekeepers” capable of identifying warning signs of suicide and how to respond.

“Our idea was to leverage real-life social network information to build a support network of strategically positioned individuals that can ‘watch-out’ for their friends and refer them to help as needed,” Vayanos said.

Vayanos and study’s lead author Aida Rahmattalabi investigated the potential of social connections such as friends, relatives and acquaintances to help mitigate the risk of suicide.

“We want to ensure that a maximum number of people are being watched out for, taking into account resource limitations and uncertainties of open world deployment,” Vayanos said.

Youth suicide
The AI algorithm can improve the efficiency of suicide prevention trainings. Lifetime Stock

For this study, Vayanos and Rahmattalabi looked at the web of social relationships of young people experiencing homelessness in Los Angeles, given that 1 in 2 youth who are homeless have considered suicide.

“Our algorithm can improve the efficiency of suicide prevention trainings for this particularly vulnerable population,” Vayanos said.

An important goal when deploying this AI system is to ensure fairness and transparency.

“This algorithm can help us find a subset of people in a social network that gives us the best chance that youth will be connected to someone who has been trained when dealing with resource constraints and other uncertainties,” said study co-author Anthony Fulginiti.

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This work is particularly important for vulnerable populations, say the researchers, particularly for youth who are experiencing homelessness.

The paper is set to be presented at the 33rd Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, Canada, this month. (IANS)