A new report from Data and Society raises doubts about automated solutions to deceptively altered videos, including machine learning-altered videos called deepfakes. Authors Britt Paris and Joan Donovan argue that deepfakes, while new, are part of a long history of media manipulation -- one that requires both a social and a technical fix. Relying on AI could actually make things worse by concentrating more data and power in the hands of private corporations. "The panic around deepfakes justifies quick technical solutions that don't address structural inequality," says Paris. "It's a massive project, but we need to find solutions that are social as well as political so people without power aren't left out of the equation."

Judge Napolitano's Chambers: Judge Andrew Napolitano breaks down why the Fourth Amendment is an intentional obstacle to government, an obstacle shown necessary by history to curtail tyrants. A trial in Great Britain has just concluded with potentially dangerous implications for personal freedom in the U.S. Great Britain is currently one of the most watched countries in the Western world – watched, that is, by its own police forces. In London alone, one study found that more than 420,000 surveillance cameras were present in public places in 2017. What do the cameras capture? Everything done and seen in public.

Tackling climate change is one of the greatest challenges facing humanity. Over the next decade, the technologies of the Fourth Industrial Revolution (4IR) – particularly 5G, the Internet of Things (IoT) and artificial intelligence (AI) – will provide essential tools for increasing efficiency in the economy and preparing for a post-fossil fuel society. Last year, the Intergovernmental Panel on Climate Change delivered its special report on the effects of global warming of 1.5 C and above. The report clearly lays out the difference between 1.5 C and 2 C warming and emphasizes the urgent need to avoid crossing tipping points in Earth's life support systems. To give us a chance to limit global warming to this level, global greenhouse gas emissions must peak by 2020 and then fall by half every decade, corresponding to 7% annual reductions as a global average.

Tackling climate change is one of the greatest challenges facing humanity. Over the next decade, the technologies of the Fourth Industrial Revolution (4IR) – particularly 5G, the Internet of Things (IoT) and artificial intelligence (AI) – will provide essential tools for increasing efficiency in the economy and preparing for a post-fossil fuel society. Last year, the Intergovernmental Panel on Climate Change delivered its special report on the effects of global warming of 1.5 C and above. The report clearly lays out the difference between 1.5 C and 2 C warming and emphasizes the urgent need to avoid crossing tipping points in Earth's life support systems. To give us a chance to limit global warming to this level, global greenhouse gas emissions must peak by 2020 and then fall by half every decade, corresponding to 7% annual reductions as a global average.

We introduce "extreme summarization," a new single-document summarization task which aims at creating a short, one-sentence news summary answering the question "What is the article about?". We argue that extreme summarization, by nature, is not amenable to extractive strategies and requires an abstractive modeling approach. In the hope of driving research on this task further: (a) we collect a real-world, large scale dataset by harvesting online articles from the British Broadcasting Corporation (BBC); and (b) propose a novel abstractive model which is conditioned on the article's topics and based entirely on convolutional neural networks. We demonstrate experimentally that this architecture captures long-range dependencies in a document and recognizes pertinent content, outperforming an oracle extractive system and state-of-the-art abstractive approaches when evaluated automatically and by humans on the extreme summarization dataset.

There is now widespread anxiety over the future of work, often accompanied by calls for a basic income to protect those displaced by automation and other technological changes. As a labour economist, I am in favour of more efficient redistributive taxation through the application of refundable tax credits, which amounts to an income-tested basic income or negative income tax. But I am more skeptical about the spectre of a future without work. And if the future isn't scarred by massive, widespread technological unemployment, a basic income would be neither outrageously expensive nor the be-all and end-all of the policy measures that society needs. The reasons for my skepticism about a future without work rests in the evidence to date.

It is good to see government-commissioned research echoing our warning about the dangers of police forces innovating in silos to manage the vast quantities of data they hold ("Police fear use of AI may lead to bias against disadvantaged", September 16). Our research shows a worrying lack of oversight or legal framework to mitigate some hefty risks -- of unlawful deployment, or of discrimination or bias that may be unwittingly built in. These dangers are exacerbated by a lack of transparency, central co-ordination or systematic knowledge-sharing between public bodies. Within the right framework algorithmic systems -- whether predictive policing, facial recognition technology or individual risk-assessment tools -- can deliver benefits in the justice system such as efficacy, efficiency, accountability and consistency. We need to build a consensus rooted in the rule of law, which preserves rights and equality, to deliver a trusted and reliable justice system now and for the future.

Recent efforts include working with government cyber-security agencies and insurance and financial industry experts to develop principles of responsible private sector response against attackers; collaborating with G-20 finance ministries and central banks, international financial institutions such as SWIFT, and global banks and insurers to develop practical norms to protect the integrity of financial data and transactions; initiatives in Silicon Valley and China to develop compatible approaches to promote Artificial Intelligence safety; and an effort to map how diverse stakeholders in China, India, and the United States assess risks associated with bioengineering techniques such as gene-editing.

What began as a way to increase public safety has turned into a civil rights concern. Some residents of San Diego, California are demanding the removal of some 4,000 'Smart Streetlights' which they claim are an invasion of privacy. The devices use sensor nodes to gather a range of information, such as weather and parking counts, but also uses facial recognition technology to count pedestrians. Some residents of San Diego, CA are demanding the removal of some 4,000 'Smart Streetlights' which they claim are an invasion of privacy. The San Diego City Council approved the installation of the Smart StreetLights in December 2016 - and now approximately 4,200 are in place.

Fox News Flash top headlines for Sept. 18 are here. Check out what's clicking on Foxnews.com A man arrested in June for allegedly dropping explosive devices in an eastern Pennsylvania community via a drone was targeting his ex-girlfriend's home, according to prosecutors. Jason Muzzicato, 44, was taken into custody in Washington Township in Northampton County by the FBI and local authorities after he was linked to the explosions. Evidence at his home and his business, Bangor Motor Works, tied him to several explosions in the township since March.