Governments have defined almost every conceivable aspect of property ownership. Can I cut down my neighbors' tree if it grows over my patio? Only those limbs that grow over the property line. Can I play music on my porch? Only if it doesn't interfere with your neighbor's enjoyment of their property.

Artificial intelligence (AI) is doing a lot of good and will continue to provide many benefits for our modern world, but along with the good, there will inevitably be negative consequences. The sooner we begin to contemplate what those might be, the better equipped we will be to mitigate and manage the dangers. "Success in creating effective AI could be the biggest event in the history of our civilisation. So we cannot know if we will be infinitely helped by AI or ignored by it and sidelined, or conceivably destroyed by it." The first step in being able to prepare for the negative impacts of artificial intelligence is to consider what some of those negative impacts might be.

Jeffrey Epstein's tangled web leads down some surprising paths, including, he claimed, to Sophia the robot. The female robot styled after Audrey Hepburn made headlines in recent years for her eerily lifelike skin and appearance, complete with a diverse set of facial expressions, and the artificial intelligence she uses to spout off quotes like "OK. She also got in a Twitter fight with Chrissy Teigen. In a new essay detailing a journalist's friendship with Jeffrey Epstein over the past three decades, Edward Jay Epstein (the two are not related) says the wealthy financier told him in April 2013 that he was funding a Hong Kong group to build "the world's smartest robot," named Sophia. Sophia was built by Hanson Robotics, a Hong Kong company created and led by David Hanson. In a statement shared with Business Insider, Hanson denied that Epstein ever directly contributed funding to either Sophia or Hanson Robotics. "With all of our software efforts, both inside Hanson Robotics, and via collaboration with universities and other institutions, we seek to further our mission to empower socially intelligent AI and robots that enrich the quality of human lives.

Artificial Intelligence (AI) is here today; it's not just the future of technology. It is also not just found in toy robots or Hollywood sci-fi movies. It's embedded in the fabric of your everyday life. Despite AI's promise, certain thinkers are deeply concerned about a time when machines might become fully sentient, rational agents--beings with emotions, consciousness, and self-awareness. "The development of full artificial intelligence could spell the end of the human race," Stephen Hawking told the BBC in 2014.

However, he argues, these are not enough to counter accelerating technological changes allowing greater intrusions of privacy and he calls for a worldwide protest movement, similar to those on climate change. He added: "You have to be ready to stand for something if you want it to change. "That is what I hope this book (Permanent Record) will help people come to decide for themselves." The revelation coincides with the GSMA's announcement that the AI market is projected to reach $70 billion by 2020.

As intelligent systems are increasingly capable of performing their tasks without the n eed for continuous human input, direction, or supervision, new human - machine interaction concepts are needed. A promising approac h to this end is human - agent teaming, which envisions a novel interaction form where humans and machines behave as equal team partners . This paper presents an overview of the current state of the art in human - agent teaming, including the analysis of human - agent teams on five dimensions; a framework describing important teaming functionalities; a technical architecture, called SAIL, supporting social human - agent teaming through the modular implementation of the human - agent teaming functionalities; a technica l implementation of the architecture; and a proof - of - concept prototype created with the framework and architecture. We conclude this paper with a reflection on where we stand and a glance into the future showing the way forward .

As a result of social network popularity, in recent years, hate speech phenomenon has significantly increased. Due to its harmful effect on minority groups as well as on large communities, there is a pressing need for hate speech detection and filtering. However, automatic approaches shall not jeopardize free speech, so they shall accompany their decisions with explanations and assessment of uncertainty. Thus, there is a need for predictive machine learning models that not only detect hate speech but also help users understand when texts cross the line and become unacceptable. The reliability of predictions is usually not addressed in text classification. We fill this gap by proposing the adaptation of deep neural networks that can efficiently estimate prediction uncertainty. To reliably detect hate speech, we use Monte Carlo dropout regularization, which mimics Bayesian inference within neural networks. We evaluate our approach using different text embedding methods. We visualize the reliability of results with a novel technique that aids in understanding the classification reliability and errors.

Places at the workshop are limited, please, contact us if you are interested in attending the event. Within the framework of the CEU ITI Comparative Populism Project this one-day workshop brings together CEU faculty and international scholars working on topics related to populism, technology, law, and governance within different disciplinary traditions. The aim is to explore the technological challenges to the rule of law, and to analyze the contribution of various emerging technologies to the increasing manifestation of populism. In order to arrive at more generalizable conclusions about the function of populism in public policy, party politics, public administration, the law, and foreign policy, this workshop focuses on the role of technology and governance. The workshop seeks to answer two pressing questions: What is the relationship between populist politics and new digital technologies, like artificial intelligence and machine learning?

In 2013 Edward Snowden made explosive revelations about the scope and depth of internet surveillance carried out by the United States and its allies, that confirmed what had up until that point been some rather wild conspiracy theories. His decision to publish, with the help of several global media outlets, a large number of confidential documents was a rather dramatic attempt of raising public awareness – a task that may or may not have been accomplished. But it was also a move that polarized opinions in his own country, and one that has cost him dearly: he has become one of the figures that Breitbart refers to as "western dissidents." Snowden now lives in exile in Russia, and has lately become more present in the media thanks to the fact he is promoting his memoir. And when this whistleblower shares his opinion on some of the most controversial issues pertaining to the tech industry, people tend to listen.

As AI becomes increasingly integrated within the legal system, how can society ensure that core legal values are preserved? Among the most important of these legal values are: equal treatment under the law; public, unbiased, and independent adjudication of legal disputes; justification and explanation for legal outcomes; outcomes based upon law, principle, and facts rather than social status or power; outcomes premised upon reasonable, and socially justifiable grounds; the ability to appeal decisions and seek independent review; procedural fairness and due process; fairness in design and application of the law; public promulgation of laws; transparency in legal substance and process; adequate access to justice for all; integrity and honesty in creation and application of law; and judicial, legislative, and administrative efficiency. The use of AI in law may diminish or enhance how these values are actually expressed within the legal system or alter their balance relative to one another. This chapter surveys some of the most important ethical topics involving the use of AI within the legal system itself (but not its use within society more broadly) and examines how central legal values might unintentionally (or intentionally) change with increased use of AI in law."