Production and IT: Addressing Ethical Challenges

Every food item on a grocery shelf and every farming app on a smartphone represents a long chain of decisions – about what gets produced, how it gets made, what data gets collected, and who bears the consequences. In agribusiness, ethics isn’t a soft concept reserved for business school lectures. It’s a practical responsibility that directly affects consumers, farmworkers, ecosystems, and the integrity of the entire food supply chain. Two of the most pressing areas where these responsibilities play out are production ethics – covering product quality, safety, and environmental impact – and IT ethics – covering data privacy, security, and intellectual property. Both domains require companies to go beyond minimum legal compliance and ask a harder question: is what we’re doing genuinely right?

The ethical foundation of agricultural production 🔗

At its core, production ethics in agriculture centers on one fundamental obligation: do no harm to those who consume or are affected by your products. According to the Food and Agriculture Organization (FAO), ensuring food quality and safety starts at the farm itself, through the application of Good Agricultural Practices (GAPs) and Good Veterinary Practices (GVPs). These frameworks are designed to protect food at every stage – from field to table – against physical contaminants, chemical residues, harmful microorganisms, and environmental pollutants. When these practices are ignored or compromised, the consequences can be severe and wide-ranging.

Research published in Food Reviews International highlights that quality management in the agro-food sector depends on a tightly integrated system of quality assurance, control, improvement, and planning – with frameworks like Hazard Analysis and Critical Control Points (HACCP) remaining central to food safety standards globally. These are not just technical systems. They represent an ethical commitment to transparency and consumer protection.

Defective products and safety compromises 🔗

One of the most visible production ethics issues is the release of defective or unsafe products. As noted by the Ethical Advocate, food recalls are not uncommon in the agricultural industry, and many are the result of producers taking shortcuts during production – to cut costs, speed up output, or increase profit margins. Contaminations, questionable additives, and substandard processing practices all feed into this problem. The ethical dimension here is clear: a company that knowingly or recklessly releases a defective product is placing commercial interest above consumer health.

A study published in Frontiers in Sustainable Food Systems points out that digital traceability technology is now opening new avenues for quality supervision, enabling real-time monitoring of agricultural product quality data throughout the supply chain. This creates an ethical opportunity – and obligation – for companies to use these tools actively, not just as a compliance measure but as a genuine commitment to product integrity.

Ethical use of new technologies in production 🔗

New production technologies – from genetically modified organisms (GMOs) to precision farming machinery – introduce their own ethical questions. The Institute for Agriculture and Trade Policy notes that agricultural biotechnology raises concerns across five broad categories: environmental impact, human food safety, animal welfare, effects on farming communities, and shifts in power relations toward large commercial interests. The Precautionary Principle is often invoked in this context – the idea that technological innovations should not proceed simply because harm has not yet been proven. For agribusinesses, this means conducting thorough ethical and scientific review of new production technologies, not just economic feasibility assessments.

The International Service for the Acquisition of Agri-biotech Applications (ISAAA) reinforces this view, arguing that food and agricultural production must not be evaluated solely on immediate economic returns. A technology may generate higher yields, but if it disrupts traditional food systems, excludes smallholder farmers from its benefits, or poses unresolved safety questions, it raises genuine ethical problems that no profit margin can outweigh.

Pollution as an ethical failure 🔗

Agricultural pollution is one of the clearest examples of how production decisions extend well beyond the farm gate. The U.S. Environmental Protection Agency (EPA) identifies agricultural runoff as the leading cause of water quality impairment in rivers and streams across the United States. Each year, roughly half a million tons of pesticides, 12 million tons of nitrogen, and 4 million tons of phosphorus fertilizer are applied to crops in the continental U.S. alone – with much of it eventually reaching surrounding water bodies through runoff and infiltration.

Earth.org reports that pesticides frequently contaminate rivers, lakes, and oceans after being applied to agricultural fields, triggering algal blooms that deplete oxygen and devastate aquatic life. The impact doesn’t stop at water: pesticide bioaccumulation in the food chain threatens birds, mammals, and human health over time. A UN Special Rapporteur on the right to food has specifically flagged that current pesticide-heavy agricultural practices contribute significantly to biodiversity loss.

Critically, peer-reviewed research cited by the Center for Biological Diversity shows that the harms of pesticide pollution are not evenly distributed. Black, Indigenous, and low-income communities face disproportionately higher pesticide exposure – both in residential settings and as agricultural workers – making this not just an environmental issue but one of environmental justice. Ethical production, then, must account for who bears the burden of pollution, not just whether a practice is technically legal.

IT ethics in agribusiness: a growing responsibility 🔗

Modern agriculture is deeply data-driven. Precision farming equipment – GPS-guided tractors, IoT soil sensors, drone monitoring systems – continuously generates detailed data about crop yields, soil conditions, planting patterns, and farm finances. This data is enormously valuable, both to farmers seeking to optimize their operations and to agricultural technology providers (ATPs) looking to develop better products. But with that value comes a serious ethical responsibility: how is this data collected, used, and protected?

A study in Frontiers in Sustainable Food Systems found that 55% of farmers sign data contracts with ATPs without seeking clarification on how their farm data will be used or shared. This points to a structural imbalance in information and power between large agribusiness technology firms and individual farmers. An ethical IT framework in agribusiness must address this imbalance head-on, starting with clear, transparent, and accessible data agreements that farmers can meaningfully understand and act on.

Data privacy and security 🔗

Farm data is sensitive. As documented in the Minnesota Journal of Law, Science & Technology, information collected from a farm can reveal a producer’s income, the value of their land, and their specific agricultural practices – data that could be used against them by commodity market speculators, competitors, or even regulators. This makes data security in agriculture not just a technical issue but a genuine ethical one. Companies that collect farm data have a moral obligation to implement robust protective measures, including encryption, two-factor authentication, and strict protocols governing third-party data sharing.

ShardSecure’s analysis of agricultural data security highlights that many IoT devices used in farming lack strong built-in security protocols, making them vulnerable to unauthorized access, data theft, and cyberattacks. The agricultural sector also currently lacks a uniform compliance standard equivalent to frameworks like SOC 2 in other industries. This regulatory gap places the ethical burden squarely on agribusinesses to self-regulate – and to do so genuinely, not just performatively.

Research published in ScienceDirect on AI ethics in agriculture notes that agricultural big data is vulnerable to misuse by corrupt actors, competitors, or commodity market traders. In one documented concern, there is tension between an agribusiness protecting its own intellectual property and a farmer’s right to control the data generated on their own land. Ethically, companies must not exploit data asymmetry for commercial gain at the farmer’s expense.

Intellectual property rights in agricultural technology 🔗

Intellectual property (IP) in agribusiness IT is a complex and contested space. The Centre for International Governance Innovation explains that the existing IP framework – patents, copyrights, database rights – provides only partial and often inadequate protection for farm data. Patents protect inventions, not raw data. Copyright does not typically apply to factual agricultural data like soil readings or yield statistics. Trade secrets are currently the most effective legal mechanism for establishing ownership of farm data, but they rely on farmers knowing enough to claim them – which many do not.

A chapter in Springer’s Smart Farming compendium outlines that ethical data contracts must explicitly define IP rights and responsibilities for all parties, with clear protections for farmers’ confidential information, trade secrets, and financial data. Several voluntary data codes – including the U.S. American Farm Bureau Federation’s Privacy and Security Principles for Farm Data, the EU Code of Conduct on Agricultural Data Sharing, and the Australian Farm Data Code – have been developed to fill the gap left by weak formal law. While these codes are not legally binding, they signal the direction that ethical agribusiness IT governance must take.

A 2025 study on dairy farm data governance in Animals adds that as AI and predictive analytics become more embedded in farm management, questions about who owns the insights derived from raw farm data become even more pressing. When raw data is transformed into a commercial product – an AI recommendation engine, a market forecasting tool – the ethical obligation is to ensure that farmers whose data contributed to that product share equitably in its benefits, not just bear the risks of its development.

Moving from compliance to ethical accountability 🔗

Both production and IT ethics ultimately require agribusinesses to move beyond the question of “what are we legally allowed to do?” and toward “what should we do?” Legal compliance is the floor, not the ceiling. Research in the Agronomy Journal notes that as the private sector now performs over half the world’s food and agricultural R&D, the ethical responsibilities of these companies in managing data privacy, intellectual property, and research integrity have grown proportionally. With that growth comes a need for stronger internal ethics frameworks, external accountability mechanisms, and genuine engagement with the farmers and communities most affected by their decisions.

Across both domains, the core ethical principles remain consistent: transparency in practices and policies, fairness in how risks and benefits are distributed, accountability when harm is caused, and respect for the autonomy of farmers, consumers, and communities. These aren’t idealistic aspirations – they are practical standards that define whether an agribusiness can be trusted by the public it serves.

What do you think? As precision farming generates ever-larger volumes of sensitive farm data, should agribusinesses be held to legally binding data protection standards rather than voluntary codes of conduct? And when production shortcuts lead to food safety incidents or environmental damage, where should the ethical – and financial – accountability fall: on the company, the regulator, or both?

References

1. https://www.fao.org/4/w9474t/w9474t03.htm
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3. https://www.ethicaladvocate.com/7-biggest-ethical-issues-facing-agricultural-industry/
4. https://pmc.ncbi.nlm.nih.gov/articles/PMC11018930/
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6. https://www.isaaa.org/resources/publications/pocketk/18/default.asp
7. https://www.epa.gov/nps/nonpoint-source-agriculture
8. https://earth.org/the-environmental-and-health-impacts-of-pesticides/
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11. https://scholarship.law.umn.edu/cgi/viewcontent.cgi?article=1422&context=mjlst
12. https://shardsecure.com/blog/data-security-agriculture
13. https://www.sciencedirect.com/science/article/pii/S2515856220300110
14. https://www.cigionline.org/publications/farm-data-ownership-and-intellectual-property-laws/
15. https://link.springer.com/chapter/10.1007/978-3-031-13276-6_13
16. https://www.mdpi.com/2076-2615/15/4/524
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