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The State of AI Ethics Report (January 2021)

arXiv.org Artificial Intelligence

The 3rd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in AI Ethics since October 2020. It aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the field's ever-changing developments. Through research and article summaries, as well as expert commentary, this report distills the research and reporting surrounding various domains related to the ethics of AI, including: algorithmic injustice, discrimination, ethical AI, labor impacts, misinformation, privacy, risk and security, social media, and more. In addition, The State of AI Ethics includes exclusive content written by world-class AI Ethics experts from universities, research institutes, consulting firms, and governments. Unique to this report is "The Abuse and Misogynoir Playbook," written by Dr. Katlyn Tuner (Research Scientist, Space Enabled Research Group, MIT), Dr. Danielle Wood (Assistant Professor, Program in Media Arts and Sciences; Assistant Professor, Aeronautics and Astronautics; Lead, Space Enabled Research Group, MIT) and Dr. Catherine D'Ignazio (Assistant Professor, Urban Science and Planning; Director, Data + Feminism Lab, MIT). The piece (and accompanying infographic), is a deep-dive into the historical and systematic silencing, erasure, and revision of Black women's contributions to knowledge and scholarship in the United Stations, and globally. Exposing and countering this Playbook has become increasingly important following the firing of AI Ethics expert Dr. Timnit Gebru (and several of her supporters) at Google. This report should be used not only as a point of reference and insight on the latest thinking in the field of AI Ethics, but should also be used as a tool for introspection as we aim to foster a more nuanced conversation regarding the impacts of AI on the world.


Ten Ways the Precautionary Principle Undermines Progress in Artificial Intelligence

#artificialintelligence

Artificial intelligence (AI) has the potential to deliver significant social and economic benefits, including reducing accidental deaths and injuries, making new scientific discoveries, and increasing productivity.[1] However, an increasing number of activists, scholars, and pundits see AI as inherently risky, creating substantial negative impacts such as eliminating jobs, eroding personal liberties, and reducing human intelligence.[2] Some even see AI as dehumanizing, dystopian, and a threat to humanity.[3] As such, the world is dividing into two camps regarding AI: those who support the technology and those who oppose it. Unfortunately, the latter camp is increasingly dominating AI discussions, not just in the United States, but in many nations around the world. There should be no doubt that nations that tilt toward fear rather than optimism are more likely to put in place policies and practices that limit AI development and adoption, which will hurt their economic growth, social ...


Tackling Climate Change with Machine Learning

arXiv.org Artificial Intelligence

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.


Audio & Video

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Microsoft's latest breakthrough could make DNA-based data centers possible


Global Artificial Intelligence (AI) Industry

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Germany Market Analysis Table 35: German Recent Past, Current & Future Analysis for Artificial Intelligence Analyzed with Annual Revenue Figures in US$ Million for Years 2015 through 2024 (includes corresponding Graph/Chart) 9.4.3 Italy Market Analysis Table 36: Italian Recent Past, Current & Future Analysis for Artificial Intelligence Analyzed with Annual Revenue Figures in US$ Million for Years 2015 through 2024 (includes corresponding Graph/Chart) 9.4.4


Uber claims its food delivery drone service will be up and running in 'multiple markets' by 2021

Daily Mail - Science & tech

Uber's dream of delivering food via drones may no longer be just pie in the sky. The ride-hailing giant is eyeing the launch of its drone delivery service in multiple markets as soon as 2021, the Wall Street Journal reported. This plan is described in a since-deleted job listing on Uber's website, where it appears to be looking for a drone executive to'enable safe, legal, efficient and scalable flight operations.' Uber's dream of delivering food via drones may no longer be just pie in the sky. The drone executive would be tasked with making Uber's delivery drones functional by 2019 and, ultimately, commercially operational by 2021.


Global Artificial Intelligence (AI) Industry

#artificialintelligence

Germany Market Analysis Table 35: German Recent Past, Current & Future Analysis for Artificial Intelligence Analyzed with Annual Revenue Figures in US$ Million for Years 2015 through 2024 (includes corresponding Graph/Chart) 9.4.3 Italy Market Analysis Table 36: Italian Recent Past, Current & Future Analysis for Artificial Intelligence Analyzed with Annual Revenue Figures in US$ Million for Years 2015 through 2024 (includes corresponding Graph/Chart) 9.4.4


Uber announces plans for Paris lab for flying taxis: Firm will invest £17.5m ahead of launch by 2020

Daily Mail - Science & tech

Uber has announced plans to open a new laboratory for the development of its futuristic flying taxis. The company said it will invest £17.5 million ($23 million) over five years to build air traffic control systems, AI algorithms, charging systems and more. The propeller-powered vehicles will be small, electric aircraft that take off and land vertically (VTOL) with zero emissions and quiet enough to operate in cities. Engineers and artificial intelligence experts at the new research centre in Paris will be tasked with designing the vehicles ahead of the service's launch by 2020. Uber has announced plans to open a new laboratory for the development of its futiristic flying taxi service (artist's impression) Set to open this autumn, the Advanced Technologies Centre in Paris (ATCP) will be Uber's first R&D centre outside North America. The laboratory will work directly with prominent engineering school Ecole Polytechnique, also based in the French capital.