Algorithms that significantly impact individuals and society should be transparent, yet they can often function as complex black boxes. Such high-risk AI systems necessitate explainability of their inner workings and decision-making processes, which is also crucial for fostering trust, understanding, and adoption of AI. Explainability is a major topic, not only in literature (Maslej et al. 2024) but also in AI regulation. The EU AI Act imposes explainability requirements on providers and deployers of high-risk AI systems. Additionally, it grants the right to explanation for individuals affected by high-risk AI systems. However, legal literature illustrates a lack of clarity and consensus regarding the definition of explainability and the interpretation of the relevant obligations of the AI Act (See e.g. Bibal et al. 2021; Nannini 2024; Sovrano et al. 2022). The practical implementation also presents further challenges, calling for an interdisciplinary approach (Gyevnar, Ferguson, and Schafer 2023; Nahar et al. 2024, 2110).Explainability can be examined from various perspectives. One such perspective concerns a functional approach, where explanations serve specific functions (Hacker and Passoth 2022). Looking at this functional perspective of explanations, my previous work elaborates on the central functions of explanations interwoven in the AI Act. Through comparative research on the evolution of the explainability provisions in soft and hard law on AI from the High-Level Expert Group on AI, Council of Europe, and OECD, my previous research establishes that explanations in the AI Act primarily serve to provide understanding of the inner workings and output of an AI system, to enable contestation of a decision, to increase usability, and to achieve legal compliance (Van Beem, ongoing work, paper presented at Bileta 2025 conference; submission expected June 2025).Moreover, my previous work reveals that the AI lifecycle is an important concept in AI policy and legal documents. The AI lifecycle includes phases that lead to the design, development, and deployment of an AI system (Silva and Alahakoon 2022). The AI Act requires various explanations in each phase. The provider and deployer shall observe an explainability by design and development approach throughout the entire AI lifecycle, adapting explanations as their AI evolves equally. However, the practical side of balancing between clear, meaningful, legally compliant explanations and technical explanations proves challenging.Assessing this practical side, my current research is a case study in the agricultural sector, where AI plays an increasing role and where explainability is a necessary ingredient for adoption (EPRS 2023). The case study aims to map which legal issues AI providers, deployers, and other AI experts in field crop farming encounter. Secondly, the study explores the role of explainability (and the field of eXplainable AI) in overcoming such legal challenges. The study is conducted through further doctrinal research, case law analysis, and empirical research using interviews, integrating the legal and technical perspectives. Aiming to enhance trustworthiness and adoption of AI in agriculture, this research seeks to contribute to an interdisciplinary debate regarding the practical application of the AI Act's explainability obligations.
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In this publication, the four authors provide several solution directions to shape that transition to a new, sustainable agricultural system. With a different relationship between food production and nature and the environment. It is the - necessary - basis for a good agricultural agreement. And the way to work towards a sustainable future for our agricultural sector and food system.
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Purpose: The purpose of this study is to find determinants about risk resilience and develop a new risk resilience approach for (agricultural) enterprises. This approach creates the ability to respond resiliently to major environmental challenges and changes in the short term and adjust the management of the organization, and to learn and transform to adapt to the new environment in the long term while creating multiple value creation. Design/methodology: The authors present a new risk resilience approach for multiple value creation of (agricultural) enterprises, which consists of a main process starting with strategy design, followed by an environmental analysis, stakeholder collaboration, implement ESG goals, defining risk expose & response options, and report, learn & evaluate. In each step the organizational perspective, as well as the value chain/area perspective is considered and aligned. The authors have used focus groups and analysed literature from and outside the field of finance and accounting, to design this new approach. Findings: Researchers propose a new risk resilience approach for (agricultural) enterprises, based on a narrative about transforming to multiple value creation, founded determinants of risk resilience, competitive advantage and agricultural resilience. Originality and value: This study contributes by conceptualizing risk resilience for (agricultural) enterprises, by looking through a lens of multiple value creation in a dynamic context and based on insights from different fields, actual ESG knowledge, and determinants for risk resilience, competitive advantage and agricultural resilience.
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Purpose: The purpose of this study is to find determinants about risk resilience and develop a new risk resilience approach for (agricultural) enterprises. This approach creates the ability to respond resiliently to major environmental challenges and changes in the short term and adjust the management of the organization, and to learn and transform to adapt to the new environment in the long term while creating multiple value creation. Design/methodology: The authors present a new risk resilience approach for multiple value creation of (agricultural) enterprises, which consists of a main process starting with strategy design, followed by an environmental analysis, stakeholder collaboration, implement ESG goals, defining risk expose & response options, and report, learn & evaluate. In each step the organizational perspective, as well as the value chain/area perspective is considered and aligned. The authors have used focus groups and analysed literature from and outside the field of finance and accounting, to design this new approach. Findings: Researchers propose a new risk resilience approach for (agricultural) enterprises, based on a narrative about transforming to multiple value creation, founded determinants of risk resilience, competitive advantage and agricultural resilience. Originality and value: This study contributes by conceptualizing risk resilience for (agricultural) enterprises, by looking through a lens of multiple value creation in a dynamic context and based on insights from different fields, actual ESG knowledge, and determinants for risk resilience, competitive advantage and agricultural resilience.
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By combining different disciplines such as entrepreneurship, psychology, and business administration, this paper provides insights into the decision-making process involved in the succession of agricultural family businesses. It offers an overview of how choices and decisions are influenced among all actors involved in the process, including the incumbent, successor, non-succeeding family members, and both informal and formal advisors. This overview creates practical insights to support a more successful business succession process. Decision-making in business succession is influenced by several factors such as business systems and culture, as well as mutual relationships, personality traits, behavioral patterns, and habits of those involved. Communication and trust, between both succeeding and incumbent family members, are important aspects that can lead to a successful process. When family relationships are strong, there is a better chance that the social-emotional aspects of business succession do not become a bottleneck. Financial, tax and legal issues can often be resolved if the social-emotional foundation is solid.
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In recent years, there have been significant changes in weather patterns, mainly caused by sharp increases in temperature, increases in carbon dioxide, and fluctuations in precipitation levels, negatively impacting agricultural production. Agricultural systems are characterized by being vulnerable to the variation of biophysical and socioeconomic factors involved in the development of agricultural activities. Agent-based models (ABMs) enable the study, analysis, and management of ecosystems through their ability to represent networks and their spatial nature. In this research, an ABM is developed to evaluate the behavior and determine the vulnerability in the sugarcane agricultural system; allowing the capitalization of knowledge through characteristics such as social ability and autonomy of the modeled agents through fuzzy logic and system dynamics. The methodol-ogy used includes information networks for a dynamic assessment of agricultural risk modeled by time series, system dynamics, uncertain parameters, and experience; which are developed in three stages: vulnerability indicators, crop vulnerability, and total system vulnerability. The development of ABM, a greater impact on the environmental contingency is noted due to the increase in greenhouse gas emissions and the exponential increase in extreme meteorological phenomena threatening the cultivation of sugarcane, making the agricultural sector more vulnerable and reducing the yield of the harvest.
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Even though women participate actively in the agricultural sector, they are underrepresented in agricultural education and extension in Afghanistan. This is also seen at NAEC, where the number of female students remains very low and as a consequence limited female teachers are available for the AHS. This paper analyses the situation at NAEC and explores the alternatives that are currently deployed by NAEC to increase access to agricultural education for women and girls.
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Purpose: This study analyses how weather shocks influence agricultural entrepreneurs’ risk perception and how they manage these risks. It explores what risks agricultural entrepreneurs perceive as important, and how they face climate change and related weather shock risks compared to the multiple risks of the enterprise. Design/methodology: This paper uses qualitative data from several sources: eight semi-structured interviews with experts in agriculture, three focus groups with experts and entrepreneurs, and 32 semi-structured interviews with agricultural entrepreneurs. Findings: not published yet Originality and value: This study contributes to the literature about risk management by small- and medium-sized agricultural enterprises: it studies factors that shape perceptions about weather shocks and about climate change and how these perceptions affect actions to manage related risks, and it identifies factors that motivate agricultural entrepreneurs to adapt to climate change and changing weather shock risks. Practical implications can lay the foundation for concrete actions and policies to improve the resilience and sustainability of the sector, by adjusting risk management strategies, collaboration, knowledge sharing, and climate adaptation policy support.
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Strengthening sustainability in global supply chains requires producers, buyers, and nonprofit organizations to collaborate in transformative cross-sector partnerships (CSPs). However, the role played by nature in such partnerships has been left largely unattended in literature on CSPs. This article shows how strategizing nature helps CSPs reach their transformative potential. Strategizing nature entails the progressive revealing and reconciling of temporal tensions between “plants, profits, and people.” We show how a CSP took a parallel approach—recognizing the divergent temporalities of plants, people, and profits as interlaced and mutually determined—toward realizing their objective of implementing living wages in a sub-Saharan African country’s the tea industry, simultaneously driven by the revitalization of tea plantations. The promise of better quality tea leaves allowed partners to take a “leap of faith” and to tackle pressing issues before the market would follow. Our findings thus show the potential of CSPs in driving regenerative organizing.
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Nonprofit organizations (NPOs) have deployed various strategies in motivating businesses to source sustainably, such as the co-development and promotion of sustainability certification and direct collaboration in cross-sector partnerships (CSPs). This is an important current-day priority, given the ambitions set out in the Sustainable Development Goals (SDGs). Increasingly, NPOs have taken up a role as conveners of such CSPs. Research on CSPs has, to date, often considered conveners as a ‘resource’ to the CSP, contributing to its effectiveness. In this study, we shift the focus towards the convener by considering a case of a ‘mission-driven convener’, an NPO that initiates CSPs as a strategy to realize its own sustainability objectives. Our explorative case study—comparing the NPO’s efforts across six countries in setting up national coffee platforms—reviews the concept of a mission-driven convener vis-à-vis established notions on convening and identifies which strategies it applies to realize a CSP. These strategies comprise productively combining certification-driven efforts with CSPs, combining process and outcomes of CSPs, and drawing on cross-level dynamics derived from outsourcing of convening work to local actors. With our study, we contribute to research on CSP conveners by offering an alternative interpretation to the relation between the CSP and the convener, attributing more agency to the convener as a mission-driven organization. Strengthening our understanding of CSPs and conveners is an important means to advance the Sustainable Development Goals (SDGs).
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