WHEN IT COMES to artificial intelligence (AI), spy agencies have been at it longer than most. In the cold war, America's National Security Agency (NSA) and Britain's Government Communications Headquarters (GCHQ) explored early AI to help transcribe and translate the enormous volumes of Soviet phone-intercepts they began hoovering up in the 1960s. Yet the technology was immature. One former European intelligence officer says his service did not use automatic transcription or translation in Afghanistan in the 2000s, relying on native speakers instead. Now the spooks are hoping to do better. The trends that have made AI attractive for business--more data, better algorithms, and more processing power to make it all hum--are giving spy agencies big ideas, too.
The Biden administration has quietly imposed temporary limits on counterterrorism drone strikes and commando raids outside conventional battlefield zones like Afghanistan and Syria, and it has begun a broad review of whether to tighten Trump-era rules for such operations, according to officials. The military and the C.I.A. must now obtain White House permission to attack terrorism suspects in poorly governed places where there are scant American ground troops, like Somalia and Yemen. Under the Trump administration, they had been allowed to decide for themselves whether circumstances on the ground met certain conditions and an attack was justified. Officials characterized the tighter controls as a stopgap while the Biden administration reviewed how targeting worked -- both on paper and in practice -- under former President Donald J. Trump and developed its own policy and procedures for counterterrorism kill-or-capture operations outside war zones, including how to minimize the risk of civilian casualties. The Biden administration did not announce the new limits.
The ghost of Edward Teller must have been doing the rounds between members of the National Commission on Artificial Intelligence. The father of the hydrogen bomb was never one too bothered by the ethical niggles that came with inventing murderous technology. It was not, for instance, "the scientist's job to determine whether a hydrogen bomb should be constructed, whether it should be used, or how it should be used." Responsibility, however exercised, rested with the American people and their elected officials. The application of AI in military systems has plagued the ethicist but excited certain leaders and inventors. Russian President Vladimir Putin has grandiloquently asserted that "it would be impossible to secure the future of our civilization" without a mastery of artificial intelligence, genetics, unmanned weapons systems and hypersonic weapons.
The aircraft carrier Nimitz is finally going home. The Pentagon last month ordered the warship to remain in the Middle East because of Iranian threats against President Donald J. Trump and other American officials, just three days after announcing the ship was returning home as a signal to de-escalate rising tensions with Tehran. With those immediate tensions seeming to ease a bit, and President Biden looking to renew discussions with Iran on the 2015 nuclear accord that Mr. Trump withdrew from, three Defense Department officials said on Monday that the Nimitz and its 5,000-member crew were ordered on Sunday to return to the ship's home port of Bremerton, Wash., after a longer-than-usual 10-month deployment. The Pentagon for weeks had been engaged in a muscle-flexing strategy aimed at deterring Iran and its Shia proxies in Iraq from attacking American personnel in the Persian Gulf to avenge the death of Maj. General Suleimani, the commander of Iran's elite Quds Force of the Islamic Revolutionary Guards Corps, was killed in an American drone strike in January 2020.
The Pentagon has abruptly sent the aircraft carrier Nimitz home from the Middle East and Africa over the objections of top military advisers, marking a reversal of a weekslong muscle-flexing strategy aimed at deterring Iran from attacking American troops and diplomats in the Persian Gulf. Officials said on Friday that the acting defense secretary, Christopher C. Miller, had ordered the redeployment of the ship in part as a "de-escalatory" signal to Tehran to avoid stumbling into a crisis in President Trump's waning days in office. American intelligence reports indicate that Iran and its proxies may be preparing a strike as early as this weekend to avenge the death of Maj. Senior Pentagon officials said that Mr. Miller assessed that dispatching the Nimitz now, before the first anniversary this Sunday of General Suleimani's death in an American drone strike in Iraq, could remove what Iranian hard-liners see as a provocation that justifies their threats against American military targets. Some analysts said the return of the Nimitz to its home port of Bremerton, Wash., was a welcome reduction in tensions between the two countries.
Two American B-52 bombers flew another show-of-force mission in the Persian Gulf on Wednesday, a week after President Trump warned Iran that he would hold it accountable "if one American is killed" in rocket attacks in Iraq that the administration and military officials blamed on Tehran. The warplanes' 36-hour round-trip mission from Minot Air Force Base in North Dakota was the third time in six weeks that Air Force bombers had conducted long-range flights about 60 miles off the Iranian coast, moves that military officials said were intended to deter Iran from attacking American troops in the region. The United States periodically conducts such quick demonstration missions to the Middle East and Asia to showcase American air power to allies and adversaries. But tensions have been rising in advance of the Jan. 3 anniversary of the American drone strike that killed Maj. Gen. Qassim Suleimani, the commander of Iran's elite Quds Force of the Islamic Revolutionary Guards Corps, and the Iraqi leader of an Iranian-backed militia -- deaths that Iranian leaders repeatedly insist they have not yet avenged.
Dubai/Washington – An American nuclear-powered guided-missile submarine traversed the strategically vital waterway between Iran and the Arabian Peninsula on Monday, the U.S. Navy said, in a rare announcement that comes amid rising tensions with Iran. The Navy's 5th Fleet, based in Bahrain, said the Ohio-class guided-missile submarine USS Georgia, accompanied by two other warships, passed through the Strait of Hormuz, a narrow passageway through which a fifth of the world's oil supplies travel. The unusual transit in the Persian Gulf's shallow waters, aimed at underscoring American military might in the region, follows the killing last month of Mohsen Fakhrizadeh, an Iranian scientist named by the West as the leader of the Islamic Republic's disbanded military nuclear program. It also comes some two weeks before the anniversary of the American drone strike near Baghdad airport in Iraq that killed top Iranian military commander Gen. Qassem Soleimani on Jan. 3. Iran has promised to seek revenge for both killings. The Ohio-class ballistic-missile submarine's presence in Mideast waterways signals the U.S. Navy's "commitment to regional partners and maritime security with a full spectrum of capabilities," the Navy said, demonstrating its readiness "to defend against any threat at any time."
We propose a Distributional Approach to address Controlled Text Generation from pre-trained Language Models (LMs). This view permits to define, in a single formal framework, "pointwise" and "distributional" constraints over the target LM -- to our knowledge, this is the first approach with such generality -- while minimizing KL divergence with the initial LM distribution. The optimal target distribution is then uniquely determined as an explicit EBM (Energy-Based Model) representation. From that optimal representation we then train the target controlled autoregressive LM through an adaptive distributional variant of Policy Gradient. We conduct a first set of experiments over pointwise constraints showing the advantages of our approach over a set of baselines, in terms of obtaining a controlled LM balancing constraint satisfaction with divergence from the initial LM (GPT-2). We then perform experiments over distributional constraints, a unique feature of our approach, demonstrating its potential as a remedy to the problem of Bias in Language Models. Through an ablation study we show the effectiveness of our adaptive technique for obtaining faster convergence.
Retired Col. Douglas MacGregor has been a vocal proponent of withdrawing from Afghanistan, Syria and South Korea; Jennifer Griffin reports. As it stands, more than 55,000 active-duty U.S. soldiers – wracked by war wounds and injuries – are deemed non-deployable. In 2018, more than half of all active-duty soldiers sustained some form of physical trauma – with over 70% diagnosed as lower extremity micro-traumatic musculoskeletal (MSK) or "overuse" injuries. And aside from the gaping hole it leaves in the defense and security arena, the medical costs related to MSK ailments across all military branches cost the U.S. taxpayer more than $575 million per year. The U.S Marines using the Sparta Science system were taken at the School of Infantry – West Training Command at MCB Camp Pendleton, California. But in a bid to solve the impasse and cut down on costs, the Department of Defense is turning to an emerging new force plate and machine learning technology – from Sparta Science – to pinpoint potential problem points to prevent future maladies, zap the attrition rate and increase physical readiness.
As we make tremendous advances in machine learning and artificial intelligence technosciences, there is a renewed understanding in the AI community that we must ensure that humans being are at the center of our deliberations so that we don't end in technology-induced dystopias. As strongly argued by Green in his book Smart Enough City, the incorporation of technology in city environs does not automatically translate into prosperity, wellbeing, urban livability, or social justice. There is a great need to deliberate on the future of the cities worth living and designing. There are philosophical and ethical questions involved along with various challenges that relate to the security, safety, and interpretability of AI algorithms that will form the technological bedrock of future cities. Several research institutes on human centered AI have been established at top international universities. Globally there are calls for technology to be made more humane and human-compatible. For example, Stuart Russell has a book called Human Compatible AI. The Center for Humane Technology advocates for regulators and technology companies to avoid business models and product features that contribute to social problems such as extremism, polarization, misinformation, and Internet addiction. In this paper, we analyze and explore key challenges including security, robustness, interpretability, and ethical challenges to a successful deployment of AI or ML in human-centric applications, with a particular emphasis on the convergence of these challenges. We provide a detailed review of existing literature on these key challenges and analyze how one of these challenges may lead to others or help in solving other challenges. The paper also advises on the current limitations, pitfalls, and future directions of research in these domains, and how it can fill the current gaps and lead to better solutions.