Sending Arms or Twisting Arms: The U.S. Role in the Ukraine War

In the wake of Russia's invasion of Ukraine in February 2022, the United States has backed the government in Kyiv with military hardware and economic assistance. The Biden administration has also done its best to constrain Russia's ability to wage war even as it has been careful not to provoke a direct confrontation or spur escalation on Russia's part.There are two primary scenarios for how the war plays out in the future. Either Ukraine will follow the "Croatia scenario" by pushing Russian troops entirely out of the country and potentially setting into motion the political downfall of Vladimir Putin. Or, in the "Korean scenario," the war will settle into a period of stalemate after the first year of surprising reversals.This backgrounder, prepared for the Rosa Luxemburg Foundation, explores the causes of the war in Ukraine and the actions of different actors in the conflict to date. It also lays out different scenarios for how the conflict may proceed depending on events both internationally and in the United States, and makes the case for a robust international diplomatic response whatever the war's outcome

Right Across the World

In a post-Trump world, the right is still very much in power. Significantly more than half the world’s population currently lives under some form of right-wing populist or authoritarian rule. Today’s autocrats are, at first glance, a diverse band of brothers. But religious, economic, social and environmental differences aside, there is one thing that unites them - their hatred of the liberal, globalised world. This unity is their strength, and through control of government, civil society and the digital world they are working together across borders to stamp out the left. In comparison, the liberal left commands only a few disconnected islands - Iceland, Mexico, New Zealand, South Korea, Spain and Uruguay. So far they have been on the defensive, campaigning on local issues in their own countries. This narrow focus underestimates the resilience and global connectivity of the right. In this book, John Feffer speaks to world’s leading activists to show how international leftist campaigns must come together if they are to combat the rising tide of the right. A global Green New Deal, progressive trans-European movements, grassroots campaigning on international issues with new and improved language and storytelling are all needed if we are to pull the planet back from the edge of catastrophe. This book is both a warning and an inspiration to activists terrified by the strengthening wall of far-right power

Building Prime Towers to Understand Prime Number​

There has been a fair amount of research over the past several decades on teachers’ understanding of the multiplicative structure of integers. What can easily be discerned from the literature is a lack of understanding on the part of these educational professionals. It would be easy to assume that this lack of understanding is thereby held by the students in these classrooms. Yet, very little research has examined children\u27s understanding of this mathematical idea. In this quasi-experimental study, we focus the effects of the use of a manipulative, the prime towers, in a three-day teaching experiment carried out in a fourth grade classroom. Students “build” towers of blocks that represent each number 2-100 as a product of prime factors. Towers are studied, compared, and contrasted to build understanding of the significance of prime factorization in predicting a number’s multiplicative structure. The experiment measured students’ ability to identify use prime factorization as a tool to find all the factor pairs, multiples, prime, and composite numbers for natural numbers 1-100 (Common Core Standard 4.OA.4). The results demonstrated represent four classes of fourth grade students spanning two schools. The conclusions drawn will help to identify and refine instructional practices that promote the understanding of the Fundamental Theorem of Arithmetic at a fourth grade level. In connection, both qualitative and quantitative data are presented to insure the practices promoted are both instructional and engaging

The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements

Prior work has established the importance of integrating AI ethics topics into computer and data sciences curricula. We provide evidence suggesting that one of the critical objectives of AI Ethics education must be to raise awareness of AI harms. While there are various sources to learn about such harms, The AI Incident Database (AIID) is one of the few attempts at offering a relatively comprehensive database indexing prior instances of harms or near harms stemming from the deployment of AI technologies in the real world. This study assesses the effectiveness of AIID as an educational tool to raise awareness regarding the prevalence and severity of AI harms in socially high-stakes domains. We present findings obtained through a classroom study conducted at an R1 institution as part of a course focused on the societal and ethical considerations around AI and ML. Our qualitative findings characterize students' initial perceptions of core topics in AI ethics and their desire to close the educational gap between their technical skills and their ability to think systematically about ethical and societal aspects of their work. We find that interacting with the database helps students better understand the magnitude and severity of AI harms and instills in them a sense of urgency around (a) designing functional and safe AI and (b) strengthening governance and accountability mechanisms. Finally, we compile students' feedback about the tool and our class activity into actionable recommendations for the database development team and the broader community to improve awareness of AI harms in AI ethics education.Comment: 37 pages, 11 figures; To appear in the proceedings of EAAMO 202

Moral Machine or Tyranny of the Majority?

With Artificial Intelligence systems increasingly applied in consequential domains, researchers have begun to ask how these systems ought to act in ethically charged situations where even humans lack consensus. In the Moral Machine project, researchers crowdsourced answers to "Trolley Problems" concerning autonomous vehicles. Subsequently, Noothigattu et al. (2018) proposed inferring linear functions that approximate each individual's preferences and aggregating these linear models by averaging parameters across the population. In this paper, we examine this averaging mechanism, focusing on fairness concerns in the presence of strategic effects. We investigate a simple setting where the population consists of two groups, with the minority constituting an {\alpha} < 0.5 share of the population. To simplify the analysis, we consider the extreme case in which within-group preferences are homogeneous. Focusing on the fraction of contested cases where the minority group prevails, we make the following observations: (a) even when all parties report their preferences truthfully, the fraction of disputes where the minority prevails is less than proportionate in {\alpha}; (b) the degree of sub-proportionality grows more severe as the level of disagreement between the groups increases; (c) when parties report preferences strategically, pure strategy equilibria do not always exist; and (d) whenever a pure strategy equilibrium exists, the majority group prevails 100% of the time. These findings raise concerns about stability and fairness of preference vector averaging as a mechanism for aggregating diverging voices. Finally, we discuss alternatives, including randomized dictatorship and median-based mechanisms.Comment: To appear in the proceedings of AAAI 202

Algae Grown on Dairy and Municipal Wastewater for Simultaneous Nutrient Removal and Lipid Production for Biofuel Feedstock

Algae grown on wastewater media are a potential source of low-cost lipids for production of liquid biofuels. This study investigated lipid productivity and nutrient removal by green algae grown during treatment of dairy farm and municipal wastewaters supplemented with CO2. Dairy wastewater was treated outdoors in bench-scale batch cultures. The lipid content of the volatile solids peaked at Day 6, during exponential growth, and declined thereafter. Peak lipid content ranged from 14–29%, depending on wastewater concentration. Maximum lipid productivity also peaked at Day 6 of batch growth, with a volumetric productivity of 17 mg/day/L of reactor and an areal productivity of 2.8 g/m2/day, which would be equivalent to 11,000 L/ha/year (1,200 gal/acre/year) if sustained year round. After 12 days, ammonium and orthophosphate removals were 96 and \u3e99%, respectively. Municipal wastewater was treated in semicontinuous indoor cultures with 2–4 day hydraulic residence times (HRTs). Maximum lipid productivity for the municipal wastewater was 24 mg/day/L, observed in the 3-day HRT cultures. Over 99% removal of ammonium and orthophosphate was achieved. The results from both types of wastewater suggest that CO2-supplemented algae cultures can simultaneously remove dissolved nitrogen and phosphorus to low levels while generating a feedstock potentially useful for liquid biofuels production