Societal Impacts of Cyber Security Assets of Project ECHO

Solutions on both consumer and state levels have become increasingly vulnerable to sophisticated cyberattacks by e.g. malware, phishing, machine learning and artificial intelligence. As the adoption and integration of information technologies are increasing and solutions are developing, the need to invest in cyber-security is at an all-time high. Investment in cybersecurity is a chief priority within the European Union, and project ECHO is a one initiative that put emphasis on devising, elaborating, implementing and enhancing a series of technological solutions (assets) to counteract cyber-attacks. The research problem of this study is what societal impacts do the ECHO assets have as product, as knowledge use, and as benefits to society. The literature review includes theory and practice from academic papers, EU innovation project and professional reports, and some ECHO project workflows. Relevant academic theoretical approaches that provide a basis for this task are: e-skills and training, Organisational Learning (OL), Societal Impact (SI), Societal Impact Assessment (SIA). This is a qualitative pilot study that evaluates the usefulness of employing a Product/ Knowledge/ Benefit Societal Impact framework to assessment of societal impacts. Data collection involved qualitative participatory observation of a co-creative expert hackathon workshop. This pilot study shows that the methodology path, where societal impact of ICT and AI solutions (e.g. the ECHO assets) are examined as these three elements (product, knowledge use, societal benefit). This pilot study serves as a step to validate this path and design and select practical, rigorous and relevant quantitative methodology to further the understanding of both societal impact assessment of cyber, e-, and AI-based solutions and services. To incorporate societal impacts with cyber and e-skills this study recommends developing and refining actual key performance indicators (KPI) to provide a basis for rigorous and relevant qualitative and quantitative questionnaire based inquiry of cyber, e-, and AI-based solutions and services.

Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis

A major challenge with the increasing use of Artificial Intelligence (AI) applications is to manage the long-term societal impacts of this technology. Two central concerns that have emerged in this respect are that the optimized goals behind the data processing of AI applications usually remain opaque and the energy footprint of their data processing is growing quickly. This study thus explores how much people value the transparency and environmental sustainability of AI using the example of personal AI assistants. The results from a choice-based conjoint analysis with a sample of more than 1.000 respondents from Germany indicate that people hardly care about the energy efficiency of AI; and while they do value transparency through explainable AI, this added value of an application is offset by minor costs. The findings shed light on what kinds of AI people are likely to demand and have important implications for policy and regulation.

A Suggested Integrated Approach For The Evaluation Of Remote Intranet Usability

As the societal impacts of the Covid-19 progress, so do the workplace and business challenges the pandemic has brought on. It is now crucial to conduct user testing to measure and optimize the usability of corporate Intranets under pandemic conditions. This paper suggests and validates an integrated approach for Intranet remote usability evaluation validated by user testing in a work from home context during a pandemic. The main contribution of the current research is the discovery of some users preferences specific to work from home workers during a pandemic not previously addressed in the literature on intranets.

Toward Equitable Micromobility: Lessons from Austin E-Scooter Sharing Program

This study revealed the inequitable societal impacts of E-scooters on disadvantaged populations. The study conducted a population distribution analysis to compare the use opportunities and space intrusion burdens of E-scooter sharing on four vulnerable population groups in Austin, Texas. Nearly all minority population experienced fewer E-scooter use opportunities. Ten percent of the minority population waited for a disproportionately longer time before a disturbance could be resolved. Ten percent of the low-income population were in a disadvantaged position in high opportunities and moderate burdens. Twenty percent of the physically disabled population faced more moderate-level burdens. The result did not show significant inequitable outcomes for the elderly population.

Letter from the Editors: AI Magazine in the New Era of AI

Artificial Intelligence has witnessed an exponential growth in the last decade and, thanks to its many successful and pervasive applications, it has now become a research field with profound societal impacts. The interest in AI has reached an all-time high from all sectors of our modern society, including industry, health, education and government. AI Magazine, founded in 1980, has documented the rise of AI from an elite and almost esoteric field to its current status of key player in modern society. Under the leadership of exceptional scientists with a global vision of the field, David Leake first and then Ashok Goel, it has provided a venue for vibrant discussion on technological transformations, research trends and fundamental breakthroughs.

Towards Zero Solid Waste in the Sedimentary Phosphate Industry: Challenges and Opportunities

The phosphate industry produces huge volumes of waste (hundred million tons per year). These wastes are generally surface landfilled, leading to significant environmental impacts and a large footprint. The current practices of phosphate waste management, the typology of the waste streams and their characteristics, and finally their potential applications are reviewed. All the waste streams generated during the life cycle of phosphoric acid production going from the extraction of phosphate rock to its enrichment and transformation are considered. Great circularity opportunities have been identified and they aim (i) to recover the residual phosphorus and other critical minerals and metals, and (ii) to consider phosphate wastes as alternative resources in the civil engineering and building sectors. The purpose is to shift from linear thinking to circular thinking where synergy between different mining and other industries is highly encouraged. By doing so, opportunities to safeguard natural resources and to minimize the environmental and societal impacts are limitless. However, many challenges are still limiting this shift: economic and technical constraints, societal and policy-makers’ awareness, regulation harmonization and finally knowledge gaps. More efforts and investment in research and development are still required to reach the zero-waste target.

Household Impacts of Interruption To Electric Power And Water Services

Critical infrastructure systems derive their importance from the societal needs they help meet. Yet the relationship between infrastructure system functioning and societal functioning is not well-understood, nor are the impacts of infrastructure system disruptions on consumers. We develop two empirical measures of societal impacts—willingness to pay (WTP) to avoid service interruptions and a constructed scale of unhappiness, compare them to each other and others from the literature, and use them to examine household impacts of service interruptions. Focusing on household-level societal impacts of electric power and water service interruptions, we use survey-based data from Los Angeles County, USA to fit a random effects within-between model of WTP and an ordinal logit with mixed effects to predict unhappiness, both as a function of infrastructure type, outage duration, and household attributes. Results suggest household impact increases nonlinearly with outage duration, and the impact of electric power disruptions are greater than water supply disruptions. Unhappiness is better able to distinguish the effects of shorter-duration outages than WTP is. Some people experience at least some duration of outage without negative impact. Increased household impact was also associated with using electricity for medical devices or water for work or business, perceived likelihood of an emergency, worry about an emergency, past negative experiences with emergencies, lower level of preparation, less connection to the neighborhood, higher income, being married, being younger, having pets, and having someone with a medical condition in the house. Financial, time/effort, health, and stress concerns all substantially influence the stated level of unhappiness.

US Commuting delays from tidal flooding worsen with sea level rise

Although sea level rise is predicted to cause severe societal impacts at the end of the 21st century, few studies quantify the impacts coastal communities already face and empirical evidence regarding contemporary adaptive behaviors to these contemporary impacts remains limited. Here we combine complete road networks, historical and projected flood exposure, and the home/work locations of 500 million person-years for US coastal commuters to estimate the historic and projected delays due to SLR-related tidal flooding. We find that tidal flooding currently delays coastal commuters by an average of 22 minutes (+/- 4.4), increasing to 183 (+/- 33) to 643 (+/- 108) minutes by 2060 under current sea level rise scenarios. Furthermore, adaptive changes in residential and work locations from 2000-2015 reduced delays for coastal residents in 40% of U.S. counties. In the absence of policy, these commuting delays could lead to capital and residential flight from currently thriving coastal economic zones.