Quantified policy targets are a fundamental element of climate policy, typically characterised by domain-specific and technical language. Current methods for curating comprehensive views of global climate policy targets entail significant manual effort. At present there are few scalable methods for extracting climate targets from national laws or policies, which limits policymakers' and researchers' ability to (1) assess private and public sector alignment with global goals and (2) inform policy decisions. In this paper we present an approach for extracting mentions of climate targets from national laws and policies. We create an expert-annotated dataset identifying three categories of target ('Net Zero', 'Reduction' and 'Other' (e.g. renewable energy targets)) and train a classifier to reliably identify them in text. We investigate bias and equity impacts related to our model and identify specific years and country names as problematic features. Finally, we investigate the characteristics of the dataset produced by running this classifier on the Climate Policy Radar (CPR) dataset of global national climate laws and policies and UNFCCC submissions, highlighting the potential of automated and scalable data collection for existing climate policy databases and supporting further research. Our work represents a significant upgrade in the accessibility of these key climate policy elements for policymakers and researchers. We publish our model at https://huggingface.co/ClimatePolicyRadar/national-climate-targets and related dataset at https://huggingface.co/datasets/ClimatePolicyRadar/national-climate-targets.

To achieve real climate solutions, changing behavior and developing technology is not enough, says Michal Nachmany, founder and CEO of the environmental nonprofit Climate Policy Radar. "A lot of this is policy," she says. We need better laws, policies, and regulations, as well as needing to hold policymakers and corporates to account, because they're not doing a good enough job, she argues. The problem is that understanding what policies are out there, and what works and what doesn't, is an enormous task. So Climate Policy Radar's goal is to use AI to understand the sprawling climate policy space, to help make sure that future laws and policies are evidence-based.

Location: Our offices are in London (Farringdon), with the ability to work from home for part of the week. The Ada Lovelace Institute is recruiting to the newly created position of Associate Director, Data & AI Law and Policy to join our senior leadership team and develop a comprehensive strategy for informing and influencing public policy, regulatory initiatives and legislative debates on data and AI policy and regulation, in the UK and beyond. In the past five years, AI and other tech regulation has become politically palatable, practically achievable and even commercially desirable in jurisdictions around the world. The year 2022 alone has seen a significant global uptick in proposals for the regulation of AI technologies, online markets, social media platforms and other digital technologies, such as the European Union Directive on AI liability, a forthcoming AI regulation whitepaper in the UK, and similar initiatives in jurisdictions such as Canada and Brazil. At the same time, data regulation is being reformed and iterated in the UK, EU and beyond.

Chatbots, currently are the hot tech-topic in the legal industry and law firms need to leverage the power of chatbots for managing their existing and potential customers. Advancements in AI and ML have led towards the emergence of AI-enabled chatbots, which can hold human-like conversations through auditory and textual methods. These AI-based chatbots are gaining popularity and are helping several companies across various verticals with customer engagement, workforce productivity, reduced expenses, and a lot more. Given its history of relying on paper-based documents, the legal industry has always been alleged of falling behind other industries in terms of accepting and deploying emerging technologies. However, over the past few years, the legal industry has been witness to large investments on automation and cloud technology, which has started to take root and is now becoming mainstream.

The update shares an announcement from the United States Patent and Trademark Office ("USPTO") and provides important details regarding a second Federal Register Notice on AI and innovation building upon the earlier request for comments focused on the impact AI poses for patent law and policy. The Ocean Tomo AI Report Update contains important details regarding the window of opportunity to respond to the notice as well as sample questions included in the notice. You can request a copy of the study update here. Ocean Tomo Industry Analyst Reports provide a comprehensive look at current industry trends and deal activity in several technology areas. As a financial advisor with a focus on technology and intellectual property (IP), Ocean Tomo has gained unique insights related to the intellectual property driving the development of a variety of technology areas.

This submission is in response to the search for ideas from the National Security Commission on Artificial Intelligence. It addresses item 3b -- the infrastructure needed to sustain leadership in artificial intelligence, and item 3d -- how data should be collected, stored, protected, and shared. If you are an analyst -- it does not matter what kind -- then like me, you eventually become begrudgingly resigned to spending most of your time preparing for, rather than actually conducting analysis. I sometimes share a dark joke with my fellow analysts. When asked how long it will take to provide an answer to a question, my response is, "About two days. But I'll see you in a month because it will take me 28 days to find, beg for access to, and clean the data I need to answer your question."

Faculty members Ian Kerr and Teresa Scassa have been appointed to the Government of Canada's new Advisory Council on Artificial Intelligence, joining a prestigious group of leading Canadian researchers and business executives to provide advice on how Canada can become a global leader in artificial intelligence (AI) advancements while ensuring that AI policy and practice reflect Canadian values. As stated in the press release from the Ministry of Innovation, Science and Economic Development Canada, "Artificial intelligence (AI) is a set of complex and powerful technologies that will touch or transform every sector and industry in Canada. It has the power to help us address some of our most challenging problems, from improving Canadians' health to fighting climate change. It will also introduce new sources of job creation and sustainable economic growth." The advisory council will be tasked with ensuring that Canada is approaching the transformative power of AI in an intelligent human-centric way, with attention given to human rights, transparency and openness.

The cyberspace and the development of new technologies, especially intelligent systems using artificial intelligence, present enormous challenges to computer professionals, data scientists, managers and policy makers. There is a need to address professional responsibility, ethical, legal, societal, and policy issues. This paper presents problems and issues relevant to computer professionals and decision makers and suggests a curriculum for a course on ethics, law and policy. Such a course will create awareness of the ethics issues involved in building and using software and artificial intelligence.

The New York Times has confirmed what some have long suspected: The Chinese government is using a "vast, secret system" of artificial intelligence and facial recognition technology to identify and track Uighurs--a Muslim minority, 1 million of whom are being held in detention camps in China's northwest Xinjiang province. This technology allows the government to extend its control of the Uighur population across the country. It may seem difficult to imagine a similar scenario in the U.S., but related technologies, built by Amazon, are already being used by U.S. law enforcement agencies to identify suspects in photos and video. And echoes of China's system can be heard in plans to deploy these technologies at the U.S.-Mexico border. A.I. systems also decide what information is presented to you on social media, which ads you see, and what prices you're offered for goods and services.

My newest Ask-A-Data-Scientist post was inspired by a computer science student who wrote in asking for advice on how to pursue a career in policy making related to the societal impacts of AI. I realized that there are many great resources out there, and I wanted to compile a list of links all in one place. You can find my previous Ask-A-Data-Scientist advice columns here. Everyone in tech should be concerned about the ethical implications of our work and actively engaging with such questions. The humanities and social sciences are incredibly relevant and important in addressing ethics questions.