The clips are produced by Future Advocacy and intend to show that people can no longer necessarily trust what they see in videos, not just to question what they read and hear.

Here’s the Johnson video:

Boris Johnson has a message for you.#GE2019 pic.twitter.com/ST4dXPbRYE

— Future Advocacy (@FutureAdvocacy) November 12, 2019

And here’s the Corbyn video:

Jeremy Corbyn has a message for you.#GE2019 pic.twitter.com/mUlarnQmRW

— Future Advocacy (@FutureAdvocacy) November 12, 2019

In the era of fake news, people are becoming increasingly aware not to believe everything they read. Training the general population not to always believe what they can see with their own eyes is a lot more challenging.

At the same time, it’s also important in a democracy that media plurality is maintained and not too much influence is centralised to a handful of “trusted” outlets. Similarly, people cannot be allowed to just call something fake news to avoid scrutiny.

Future Advocacy highlights four key challenges:

1. Detecting deepfakes – whether society can create the means for detecting a deepfake directly at the point of upload or once it has become widely disseminated.
2. Liar’s dividend – a phenomenon in which genuine footage of controversial content can be dismissed by the subject as a deepfake, despite it being true.
3. Regulation – what should the limitations be with regards to the creation of deepfakes and can these be practically enforced?
4. Damage limitation – managing the impacts of deepfakes when regulation fails and the question of where responsibility should lie for damage limitation.

Areeq Chowdhury, Head of Think Tank at Future Advocacy, said:

“Deepfakes represent a genuine threat to democracy and society more widely. They can be used to fuel misinformation and totally undermine trust in audiovisual content.

Despite warnings over the past few years, politicians have so far collectively failed to address the issue of disinformation online. Instead, the response has been to defer to tech companies to do more. The responsibility for protecting our democracy lies in the corridors of Westminster not the boardrooms of Silicon Valley.

By releasing these deepfakes, we aim to use shock and humour to inform the public and put pressure on our lawmakers. This issue should be put above party politics. We urge all politicians to work together to update our laws and protect society from the threat of deepfakes, fake news, and micro-targeted political adverts online.”

Journalists are going to have to become experts in spotting fake content to maintain trust and integrity. Social media companies will also have to take some responsibility for the content they allow to spread on their platforms.

Social media moderation

Manual moderation of every piece of content that’s posted to a network like Facebook or Twitter is simply unfeasible, so automation is going to become necessary to at least flag potentially offending content.

But what constitutes offending content? That is the question social media giants are battling with in order to strike the right balance between free speech and expression while protecting their users from manipulation.

Just last night, Twitter released its draft policy on deepfakes and is currently accepting feedback on it.

The social network proposes the following steps for tweets it detects as featuring potentially manipulated content:

• Place a notice next to tweets that share synthetic or manipulated media.
• Warn people before they share or like tweets with synthetic or manipulated media.
• Add a link – for example, to a news article or Twitter Moment – so that people can read more about why various sources believe the media is synthetic or manipulated.

Twitter defines deepfakes as “any photo, audio, or video that has been significantly altered or fabricated in a way that intends to mislead people or changes its original meaning.”

Twitter’s current definition sounds like it could end up flagging the internet’s favourite medium, memes, as deepfakes. However, there’s a compelling argument that memes often should at least be flagged as modified from their original intent.

Take the infamous “This is fine” meme that was actually part of a larger comic by KC Green before it was manipulated for individual purposes.

In this Vulture piece, Green gives his personal stance that he’s mostly fine with people using his work as a meme so long as they’re not monetising it for themselves or using it for political purposes.

On July 25th 2016, the official Republican Party Twitter account used Green’s work and added “Well ¯\_(ツ)_/¯ #DemsInPhilly #EnoughClinton”. Green later tweeted: “Everyone is in their right to use this is fine on social media posts, but man o man I personally would like @GOP to delete their stupid post.”

Raising awareness of deepfakes

Bill Posters is a UK artist known for creating subversive deepfakes of famous celebrities, including Donald Trump and Kim Kardashian. Posters was behind the viral deepfake of Mark Zuckerberg for the Spectre project which AI News reported on earlier this year.

Posters commented on his activism using deepfakes:

“We’ve used the biometric data of famous UK politicians to raise awareness to the fact that without greater controls and protections concerning personal data and powerful new technologies, misinformation poses a direct risk to everyone’s human rights including the rights of those in positions of power.

It’s staggering that after 3 years, the recommendations from the DCMS Select Committee enquiry into fake news or the Information Commissioner’s Office enquiry into the Cambridge Analytica scandals have not been applied to change UK laws to protect our liberty and democracy.

As a result, the conditions for computational forms of propaganda and misinformation campaigns to be amplified by social media platforms are still in effect today. We urge all political parties to come together and pass measures which safeguard future elections.”

As the UK heads towards its next major election, there is sure to be much debate around potential voter manipulation. Many have pointed towards Russian interference in Western democracies but there’s yet to be any solid evidence of that being the case.

Opposition parties, however, have criticised the incumbent government in the UK as refusing to release a report into Russian interference. Former US presidential candidate Hillary Clinton branded it “inexplicable and shameful” that the UK government has not yet published the report.

Allegations of interference and foul play will likely increase in the run-up to the election, but Future Advocacy is doing a great job in highlighting to the public that not everything you see can be believed.

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The use of AI to increase productivity rather than replace human workers will help to quell some fears around the adoption of artificial intelligence.

Svetlana Sicular, Research Vice President at Gartner, said:

“Augmented intelligence is all about people taking advantage of AI.

As AI technology evolves, the combined human and AI capabilities that augmented intelligence allows will deliver the greatest benefits to enterprises.”

Gartner is predicting the adoption of AI will generate $2.9 trillion in business value in 2021. Furthermore, it will deliver the equivalent of 6.2 billion hours of worker productivity over the same timeframe.

Currently, the leading business value of AI is decision support/augmentation, followed by agents. By 2030, Gartner predicts this overall ranking will remain the same but the gap between will grow significantly with decision support/augmentation accounting for 44 percent of business value, and agents representing 24 percent.

“The excitement about AI tools, services and algorithms misses a crucial point: The goal of AI should be to empower humans to be better, smarter and happier, not to create a ‘machine world’ for its own sake,” added Sicular. “Augmented intelligence is a design approach to winning with AI, and it assists machines and people alike to perform at their best.”

Decision support/augmentation will have little impact on the workforce, but that doesn’t mean workers have nothing to fear. Agents, the second biggest expected driver of business value, will inevitably cause some job losses.

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The simulation run by the McKinsey Global Institute shows artificial intelligence has the possibility to add 1.2 percent to annual gross domestic product growth until at least 2030.

For perspective, that represents $13 trillion of additional global economic activity. Such growth is equivalent to other landmark developments such as that of the steam engine.

AI is among the most sought-after technologies globally. Much like 5G, countries are vying to become leaders in the space.

Russian President Vladimir Putin recently said:

“Artificial intelligence is the future, not only for Russia, but for all humankind. It comes with colossal opportunities, but also threats that are difficult to predict.

Whoever becomes the leader in this sphere will become the ruler of the world.”

China and the US, the world’s largest economies, are the other major players in the AI race who aim to fully utilise the rapidly advancing technology in order to retain their lead.

Beijing has already set out its five-year plan which includes AI. The nation aims to be a leader by 2030.

Compared to the global average, China’s labour productivity is low and the economy is becoming reliant on consumption. Without AI, it’s likely the country will struggle to achieve its target growth rate.

Despite the economic benefits. there continues to be a concern about AI increasing wealth inequality.

“The productivity-enhancing, labour-saving technology is a challenging issue for all of the economies in the world,” Takashi Miwa, chief Japan economist at Nomura, said at a press briefing on Tuesday.

Like many experts, Miwa believes AI poses a threat to low-skilled jobs.

There will also be a severe disparity between countries. According to the McKinsey analysis, developed countries – likely to emerge as AI leaders – are set to benefit economically 20 to 25 percent more than current levels.

Emerging markets could only gain half of that, according to the report.

Are you surprised by the prediction?

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