The importance of considering distributive justice in climate policy motivates research in AI-based decision support to search for balanced alternatives across multiple sectors, regions, and generations and counteract existing asymmetries in policy design. This PhD position is one of the four PhD positions in the Hippo Lab (Hyper-heuristics for interpretable public policy analysis), which is part of the TU Delft Artificial Intelligence initiative to channel expertise in AI foundations to tackle societal and scientific challenges. With its excellent education and research at the intersection of technology, society and policy, the Faculty of TPM contributes to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. Stay updated on last news about Artificial Intelligence. Check your inbox or spam folder to confirm your subscription.

In this article, we will discuss what I believe is one of the most significant issues facing the future of project management. Let me start by asking 3 questions. If you're a project manager and don't know the answers to those three questions, I suggest you read further because your career might depend on knowing them. So why is the 5th of December 2017 a significant date for those of us who take even a cursory interest in the development of AI and machine learning or what we call ML? The 5th of December 2017 was a pretty special day; on that day, one computer beat another computer at the Top Chess Engine Championship.

The trend toward greater focus on privacy issues has been going on for some time and is starting to come to a head. More restrictions on the sharing and merging of data on individuals has been leading to advertisers to look for effective ways to target and reach consumers, including using the use of behavioral targeting supplemented by the use of artificial intelligence (AI). At a time when privacy regulations are sometimes fragmented and confusing but changing, it is critically important for marketers to monitor changes in the regulatory environment. Against this backdrop, I interviewed Sheri Bachstein, IBM's Global Head of Watson Advertising to get her insights and predictions on the future of privacy regulation and how it will affect advertisers, particularly as regards the use of AI and came away with three major takeaways: The European Union's General Data Protection Regulation and the California Consumer Privacy Act are already leading to the devaluation of traditional third-party cookies and the way many advertisers do business. Yet, the lack of uniform regulation creates a significant gray area for companies who want to scale and use AI in targeting, creating problems for technology companies and marketers. Bachstein believes that federal legislation as opposed to a patchwork of state laws is needed in order to allow for standards that allow marketers to operate effectively while protecting consumer rights.

When COVID-19 hit, organizations using traditional analytics techniques that rely heavily on large amounts of historical data realized one important thing: Many of these models are no longer relevant. Essentially, the pandemic changed everything, rendering a lot of data useless. In turn, forward-looking data and analytics teams are pivoting from traditional AI techniques relying on "big" data to a class of analytics that requires less, or "small" and more varied. Transitioning from big data to small and wide data is one of the Gartner top data and analytics trends for 2021. These trends represent business, market and technology dynamics that data and analytics leaders cannot afford to ignore.

California's high poverty rate, low wages and frayed public safety net require a new "social compact" between workers, business and government, according to a report by a blue-ribbon commission that highlights the state's widening inequality. In a report released Monday, the Future of Work Commission, a 21-member body appointed by Gov. Gavin Newsom in August 2019, laid out a grim picture of the challenges facing the world's fifth-largest economy, even as it acknowledged the Golden State's technology leadership, its ethnically and culturally diverse workforce and world-class universities. "Too many Californians have not fully participated in or enjoyed the benefits of the state's broader economic success and the extraordinary wealth generated here, especially workers of color who are disproportionately represented in low-wage industries," the report says. California has the highest poverty rate in the country when accounting for the cost of living, 17.2%, according to the report. Since 2012, wages in the state grew by 14% while home prices increased by 68%.

We have covered a lot of ground within the two articles of the Exploring Artificial Intelligence series (January, February). We have understood that AI is already participating in our lives, overtly and covertly. AI is here and is not going away. To quote the Hitch Hiker's Guide to the Galaxy: "Don't Panic!". This article has some good news.

Emails changed the way financial services and law firms used to do business years ago. Now, artificial intelligence is creating a new revolution in the way how law firms and financial institutions work. It is helping to speed up the business process, provide prompt customer service, boost productivity, reduce the workload on human minds, and minimize mistakes. Today, we will discuss how artificial intelligence is helping law firms and financial institutions to boost productivity, reduce expenses, and provide better services to their clients. Artificial intelligence is gradually becoming an indispensable virtual assistant for the lawyers.

On my first work trip to Jakarta 14 January 2016 for Grab, multiple terrorist bombs exploded a couple of miles from the GrabBike office where I had just arrived. People were fleeing cafes and restaurants around the attack site. My new colleagues were shaken, glad to be safe, looking to help. There was news of crowds on the streets trying to get away, confirmed by a spike in booking requests from the blocks around the explosion. My colleagues remembered the 2002 Bali bombings, and knew we should get people to spread out.

On a recent episode of Amicus, Dahlia Lithwick talked with Jameel Jaffer, executive director of the Knight First Amendment Institute at Columbia University, to unpack how the scope of the First Amendment continues to grow even as it fails in the face of so many of the free speech issues we face today. A portion of their conversation, which has been edited and condensed for clarity, has been transcribed below. Dahlia Lithwick: I think I've had a Post-it note pinned to my screen saying, "Do a First Amendment show" for three years. It sweeps in every news cycle. From the Facebook "Supreme Court," your own litigation around Trump's tweets, cancel culture, the speech defenses that came up at the impeachment trial--I think of the First Amendment as a framework that governs all of those things. As you suggested to me, when we were thinking about this show, the First Amendment is "everywhere but nowhere."

An artificial intelligence commission led by former Google CEO Eric Schmidt is urging the U.S. to boost its AI skills to counter China, including by pursuing "AI-enabled" weapons -- something that Google itself has shied away from on ethical grounds. Schmidt and current executives from Google, Microsoft, Oracle and Amazon are among the 15 members of the National Security Commission on Artificial Intelligence, which released its final report to Congress on Monday. "To win in AI we need more money, more talent, stronger leadership," Schmidt said Monday. The report says that machines that can "perceive, decide, and act more quickly" than humans and with more accuracy are going to be deployed for military purposes -- with or without the involvement of the U.S. and other democracies. It warns against unchecked use of autonomous weapons but expresses opposition to a global ban. It also calls for "wise restraints" on the use of AI tools such as facial recognition that can be used for mass surveillance.