If you're not concerned about the potential legal liability from using AI, then you're not paying attention. That's the message from Andrew Burt, one of the founders of BNH.ai, a boutique law firm that's dedicated to advising clients on the legal pitfalls of embracing AI. BNH.ai has been up and running for just over a month. But today is its official launch day for the Washington D.C. law firm, which was co-founded by Burt, the chief legal counsel for Immuta, and Patrick Hall, the head of product for H2O.ai. Both will continue in their existing roles at Immuta and H2O while growing their new law firm.

EU trade policy should carve out space for the regulation of ethical and responsible artificial intelligence (AI) in future trade talks. This is the finding of a new study by researchers from the University of Amsterdam's (UvA) Institute for Information Law. The Dutch Ministry of Foreign Affairs commissioned the study to generate further knowledge about the interface between international trade law and European norms and values when it comes to the use of AI. As AI seeps ever more comprehensively into our daily lives--through our phones, our cars, even in our doctors' offices--the need to ensure responsible use of such technologies becomes ever greater. Responsible use of AI is therefore a top priority for the Dutch government and for the EU as a whole.

Researchers using artificial intelligence to grade decades of conservation efforts have determined we're getting better at reintroducing once-endangered species to the wild. In their study published Thursday in the journal Patterns, the researchers analyzed the abstracts of more than 4,000 studies of species reintroduction across four decades and found that we're generally improving in our conservation efforts. The authors hope that machine learning could be used in this field, as well as others, to discover the best techniques and solutions from the ever-growing plethora of scientific research. "We wanted to learn some lessons from the vast body of conservation biology literature on reintroduction programs that we could use here in California as we try to put sea otters back into places they haven't roamed for decades," said senior author Kyle Van Houtan, chief scientist at Monterey Bay Aquarium in California. "But what sat in front of us was millions of words and thousands of manuscripts. We wondered how we could extract data from them that we could actually analyze, and so we turned to natural language processing."

Ethics is an ancient matter for human kind, from the origin of civilizations ethics have been related with the most relevant human concerns and determined human behavior. Ethics was initially related to religion, politics and philosophy to then be fragmented into specific disciplines and communities of practice. The undergoing digital revolution enabled by Artificial Intelligence and Big Data are bringing ethical wicked problems in the social application of these technologies. However, a broader perspective is also necessary. We now face global challenges that affect groups and individuals, specially those that are most vulnerable, but cannot reduced only to individual-oriented solutions. Thus, ethics has to consider the several scales in which the current complex society is organized and the interconnections between different systems. Ethics should also give a response to the systemic changes in individual to collective behavior produced by external factors and threats. Furthermore, Artificial Intelligence and digital technologies are global and make humans more connected and smart but also more homogeneous, predictable and ultimately controllable. Ethics must take a stand to preserve and keep promoting individuals rights and uniqueness and cultural heterogeneity. The digital revolution has been so far an industry-driven movement, so it is necessary to establish mechanisms to ensure that the society becomes conscious about its own future. Finally, Artificial Intelligence has advanced through the ambition to humanize matter, so we should expect ethics to give a response to the future status of machines and their interactions with humans.

Artificial intelligence (AI) is bound to enable innovation in the decades to come. On the one hand, AI technologies may be used to improve societal well-being and help fight human rights abuses. On the other hand, AI presents a variety of challenges that can profoundly affect the respect for and protection of human rights. Therefore, it is important to place international human rights law (IHRL) at the centre of discussions about AI governance. Our New Research Brief Human Rights and the Governance of Artificial Intelligence discusses the opportunities and risks that AI represents for human rights, recalls that IHRL should occupy a central place in the governance of AI and outlines two additional avenues to regulation: public procurement and standardization.

Our ability to collect and record information in a digital form has exploded as has our adoption of AI systems, which use data to make decisions. But data isn't neutral, and sexism, racism and other forms of discrimination are showing up in our data products. Catherine D'Ignazio, an assistant professor of urban science and planning at the Massachusetts Institute of Technology (MIT), argues we need to do better. Along with Lauren Klein, who directs the Digital Humanities Lab at Emory University, she is the co-author of the new book Data Feminism, which charts a course for a more equitable data science. D'Ignazio also directs MIT's new Data and Feminism lab, which seeks to use data and computation to counter oppression.

NTU SPIRIT Smart Nation Research Centre, together with the Singapore Judiciary, has successfully developed an Intelligent Case Retrieval System (ICRS) using AI capabilities. ICRS enables efficient retrieval of relevant precedent cases through the use of continuously adaptive AI/data analytics approaches. The use of such tools can help the legal profession to understand case details and perform legal research by trawling through the case repositories at a faster and more accurate rate to obtain the most relevant case precedents and identify possible outcomes in different areas of law. The value of ICRS is to better enable all parties to evaluate the strengths or weaknesses of their cases. With better quality legal submissions, judges too are assisted in their decision-making processes, thus elevating the quality of judgments delivered.

I recently completed a data science bootcamp, and during my last week, my class and the graduating UX/UI design class got headshots done. I was the first person to go up, and I started chatting with the photographer. She mentioned how she also does headshots for another coding bootcamp as well and coders are much more awkward in front of a camera. Then, she asked me what I did in my design class. Machine learning is quickly becoming part of the fabric of our lives and the world we live in.

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Data is creating new value for enterprise organizations. Historical sales information is used to predict prospective clients and repeat customers. Reporting is increasingly automated and customized to the needs of the manager. And knowledge workers are empowered with data to make informed business decisions. But at what cost does this digital landgrab potentially push employees beyond their limits and create new, unforeseen risks for the business?