Artificial intelligence programs are being used in more applications and more industries all the time. The legal field is an area that could substantially benefit from AI programs, due to the massive amount of documents that have to be reviewed for any given case. As reported by the Observer, one company is aiming to bring AI to the legal fields, with its CEO seeing a wide variety of uses for AI. Lane Lillquist is the co-founder and CTO of InCloudCounsel, a legal tech firm. Lillquist believes that AI can be used to help lawyers be more efficient and accurate in their jobs.

The INSPIRE directive was passed in 2007 to facilitate easy exchange of environmental and spatial information. Its purpose is to make data from different sources easily accessible to stakeholders to boost data-driven decision-making. INSPIRE offers high-quality data and a solid foundation to build data-driven processes on. Now, the value offered by the INSPIRE directive is being recognized by private organizations outside of the EU. Minerva Intelligence Inc applies auditable and explainable AI to complex geoscience problems, ranging from geohazard assessment to mineral target identification to climate law impact.

Thanks to today's "Internet of Things" (IoT), there is an "automation" for almost every aspect of our lives. From such mundane if not downright silly things as kitchen faucets that activate on voice command, to the impressive -- massive shipping warehouses run by robotics -- many aspects of life today go beyond that imagined decades ago in science fiction. While we still are waiting for flying cars depicted in the Jetsons television show of the 1960s, or space hotels as portrayed in the sci-fi epic 2001, the array of technologically driven devices available to the average citizen is indeed impressive. Yet, while automation and artificial intelligence simplifies or altogether eliminates many of the activities of day-to-day life, the technology complicates others. For example, how do you program a self-driving car in an emergency situation to choose between the life of a pedestrian or that of its "driver?"

The Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) is pleased to announce their 7th academic seminar as follows. Artificial Intelligence (AI) is nowadays capable of coming up with creative and inventive outputs that until not long ago just human beings were capable to produce. Music, literature and art are already being created by computers and machines. The talk will delve into these burning legal questions and issues, expanding on the challenges AI pose to the authorship and inventorship requirements as well as the legal provisions on originality and inventive step/non obviousness in several jurisdictions, including United States, United Kingdom and the European Union (EU).

Predictive policing is a data-based, predictive analytical technique used in law enforcement. In this paper, we give an overview of the current situation in Austria and discuss technical, sociopolitical and legal questions raised by the use of PP, such as the lack of awareness of discriminatory structures in society, the biases in data underlying PP and the lack of reflection on the basic premises and feedback mechanisms of PP. Violations of fundamental rights without cause are not allowed by the Austrian Code of Criminal Procedure (Strafproze{\ss}ordnung, StPO), the Security Police Act (Sicherheitspolizeigesetz, SPG) or the Act concerning Police Protection of the State (Polizeiliches Staatsschutzgesetz, PStSG); the principle of allowing police intervention only on the basis of concrete threats or suspicion must remain absolute. Considering the numerous problems (not least from the point of view of legal policy), we conclude that the use of PP should be eschewed and that resources and planning should instead be focussed on solving the social problems which actually cause crime. ----- Predictive Policing ist ein datenbasiertes und prognosegetriebenes Modell f\"ur Polizeiarbeit. Wir geben in diesem Artikel einen \"Uberblick \"uber den aktuellen Stand in \"Osterreich und diskutieren technische, politisch-gesellschaftliche und rechtliche Probleme, die sich daraus ergeben -- etwa das mangelhafte Bewusstsein f\"ur Prozesse gesellschaftlicher Diskriminierung, die verzerrte Datenbasis, die PP zugrundeliegt, und fehlende Reflexion \"uber zugrundeliegende Annahmen und R\"uckkopplungseffekte. Anlasslose Grundrechtseingriffe sind weder durch die StPO noch das SPG oder das PStSG gedeckt; dem Grundgedanken, dass Polizei erst bei konkreter Gefahrenlage oder Tatverdacht t\"atig werden darf, muss weiterhin Rechnung getragen werden. Aus unserer Sicht sollte angesichts der zahlreichen Probleme (und auch aus rechtspolitischen Erw\"agungen) auf PP verzichtet werden und stattdessen Ressourcen und \"Uberlegung in die L\"osung jener gesellschaftlicher Probleme investiert werden, die zu Kriminalit\"at f\"uhren.

In The Future of Violence, Benjamin Wittes and Gabriella Blum discuss a disturbing hypothetical scenario. A lone actor in Nigeria, "home to a great deal of spamming and online fraud activity," tricks women and teenage girls into downloading malware that enables him to monitor and record their activity, for the purposes of blackmail. The real story involved a California man who the FBI eventually caught and sent to prison for six years, but if he had been elsewhere in the world he might have gotten away with it. Many countries, as Wittes and Blum note, "have neither the will nor the means to monitor cybercrime, prosecute offenders, or extradite suspects to the United States." Technology is, in other words, enabling criminals to target anyone anywhere and, due to democratization, increasingly at scale.

Increasingly, AI is adopted by our banks and our bosses, by our cars and our courts. Across the board, implicit bias remains a significant and complex problem. Several examples have become emblematic of the ways in which implicit bias can channel AI in a prejudiced direction. The Nikon camera that kept asking whether Taiwanese American blogger Joz Wang and her family members were "blinking" while they were taking photographs, for instance, or the time when Google Photos tagged two black friends as "gorillas." Or take the example of Google search results.

As technology progresses, so does our fear of being replaced by artificial intelligence (A.I.). A.I. has already made its presence known in the legal field igniting worry about our job security. The topic of Attorneys and paralegals v. Artificial Intelligence is hitting the headlines with ever-increasing presence. Even with the new wave of A.I. pouring into the legal industry, it does not necessarily mean that paralegals will ever become obsolete. While A.I. is by some, portrayed as an enemy, it also brings something of value to the legal field.

Asset managers today are faced with an overwhelming quantity of data. The paradox for many managers is that as the avalanche grows, clients and regulators are increasingly keen to look at the data on a much more granular level than in the past. Faced with these dual challenges and competing priorities, institutions are increasingly turning to data service experts to help them cope. Some managers turn to external third-party providers to ensure that they maintain oversight and control of their data in a transparent manner. And asset servicers, who are already close to the business and know the ins and outs, can perform many of these functions, replacing outdated operational processes and spreadsheets with more fit for purpose digital solutions.

Another common eDiscovery pitfall is the use of standard approaches for every case. Rather than dig in and discern data minimization and cost estimates for each case, many practitioners use generic formulas. Dubious tenets like "every stage of large cases goes to law firms" or "law firms always manage review for us" still rule the day. Teams automatically slap project planning formulas like 0 to 6 months for ECA, 6 to 12 months for full-blown eDiscovery and 12 to 24 months to finish eDiscovery, motions and trial preparations onto every eDiscovery project.