Improving fairness in machine learning systems: What do industry practitioners need?

The potential for machine learning (ML) systems to amplify social inequities and unfairness is receiving increasing popular and academic attention. A surge of recent work has focused on the development of algorithmic tools to assess and mitigate such unfairness. If these tools are to have a positive impact on industry practice, however, it is crucial that their design be informed by an understanding of real-world needs. Through 35 semi-structured interviews and an anonymous survey of 267 ML practitioners, we conduct the first systematic investigation of commercial product teams' challenges and needs for support in developing fairer ML systems. We identify areas of alignment and disconnect between the challenges faced by industry practitioners and solutions proposed in the fair ML research literature. Based on these findings, we highlight directions for future ML and HCI research that will better address industry practitioners' needs.Comment: To appear in the 2019 ACM CHI Conference on Human Factors in Computing Systems (CHI 2019

The role of government in agricultural innovation: Lessons from Bolivia

"Many governments in developing countries attempt to foster agricultural development and innovation by setting up funding facilities, extension programs, and research centers and by subsidizing private-sector and farm activities through fiscal measures. However, when trying to manage complex innovation processes involving many and different actors, governments sometimes find it difficult to design effective interventions and therefore end up supporting and managing only the public research and extension organizations that directly depend upon them. With the aid of various donors, Bolivia introduced a scheme in 2001—the Bolivian Agricultural Technology System (SIBTA)—by which government support to agricultural research and extension was partly delegated to regional semiautonomous foundations. This brief presents the results of a study on the role of the Bolivian government in guiding and managing SIBTA. The study found that despite a number of weaknesses related to the design of the system and the government's limited commitment, the regional foundations have been able to effectively identify the demands of small farmers, set priorities, and provide transparency and accountability with regard to funding and decisionmaking. It suggests that instead of micromanaging such foundations, the government should focus on the big picture and conduct policy analysis and strategic planning to identify opportunities for agricultural innovation and set up incentive mechanisms and information networks that support the many actors involved in innovation processes." from textAgricultural innovations, Private sector, Technological innovations, Agricultural research, Agricultural development, stakeholders, Farmers, Producer organizations, Extension,

Secrecy in Educational Practices: Enacting Nested Black Boxes in Cheating and Deception Detection Systems

This paper covers secrecy from the vantage point of recent technological initiatives designed to detect cheating and deception in educational contexts as well as to monitor off-campus social media speech code violations. Many of these systems are developed and implemented by third-party corporate entities who claim practices to be proprietary and secret. The outsourcers involved in these efforts have provided one level of secrecy and educational administrators involved yet another level, thus constructing nested black boxes. Also discussed in this paper is the “paranoid style” of administration, often supported by the surveillance and construction of rosters of potential non-conformists, such as alleged cheaters and speech code violators. The educational technologies described in this article are increasingly applied to workplace practices, with young people being trained in what is deemed acceptable conduct. Secrecy can serve to alter the character of relationships within the educational institutions involved as well as inside the workplaces in which the approaches are increasingly being integrated

Big Data and the Internet of Things

Advances in sensing and computing capabilities are making it possible to embed increasing computing power in small devices. This has enabled the sensing devices not just to passively capture data at very high resolution but also to take sophisticated actions in response. Combined with advances in communication, this is resulting in an ecosystem of highly interconnected devices referred to as the Internet of Things - IoT. In conjunction, the advances in machine learning have allowed building models on this ever increasing amounts of data. Consequently, devices all the way from heavy assets such as aircraft engines to wearables such as health monitors can all now not only generate massive amounts of data but can draw back on aggregate analytics to "improve" their performance over time. Big data analytics has been identified as a key enabler for the IoT. In this chapter, we discuss various avenues of the IoT where big data analytics either is already making a significant impact or is on the cusp of doing so. We also discuss social implications and areas of concern.Comment: 33 pages. draft of upcoming book chapter in Japkowicz and Stefanowski (eds.) Big Data Analysis: New algorithms for a new society, Springer Series on Studies in Big Data, to appea

Building a Model of Collaboration Between Historically Black and Historically White Universities

Despite increases over the last two decades in the number of degrees awarded to students from underrepresented groups in science, technology, engineering, and mathematics (STEM) disciplines, enhancing diversity in these disciplines remains a challenge. This article describes a strategic approach to this challenge—the development of a collaborative partnership between two universities: the historically Black Elizabeth City State University and the historically White University of New Hampshire. The partnership, a type of learning organization built on three mutually agreed upon principles, strives to enhance opportunities for underrepresented students to pursue careers in the STEM disciplines. This article further describes six promising practices that framed the partnership, which resulted in the submission of nine proposals to federal agencies and the funding of four grants that led to the implementation, research, learning, and evaluation that followed

Fighting Corruption with ICT: Strengthening Civil Society’s Role

With information and communication technology, civil society plays an increasing role in governance, promoting transparency and accountability to tackle corruption. Development agencies can strengthen civil society-led, ICT -driven anticorruption initiatives by funding projects and programs that foster institutional environments conducive to participation in public affairs, promote cooperation and mobilization, and develop capacities