HR 4.0: AI at the service of the HR function, a minefield?
Summary
In this SoloTablet article (in the Homo sapiens e Homo digitalis section), Alexandre Martin, Lee Schlenker, and Emma Pitzalis analyze the emergence of AI in HR: the automation of repetitive tasks (drafting job postings, sorting resumes, conducting initial interviews, creating personalized career paths) and the promise of strengthened human relationships.
Through concrete examples (Amazon, Uber, IBM, and chatbots such as Owlie and ChatGPT), they explore the challenges of algorithmic bias, personal data protection (GDPR, AI Act), human agency, and managerial accountability in the face of automated decisions.
A critical reflection on the role of humans in the “augmented” workplace: Should AI replace or augment HR judgment, and at what cost to the employment relationship?
Can ethics be applied to artificial intelligence?
Summary
Artificial intelligence is often described as a new form of life, yet it remains fundamentally different from organic beings. This essay examines how algorithms imitate human abilities through machine learning, robotics, voice assistants, autonomous systems and humanoid machines. By analysing examples such as Microsoft’s Tay, Amazon’s biased recruitment tool, MIT’s Norman and AlphaGoZero, it shows that artificial intelligence can process information, learn and solve problems, but does not possess consciousness, emotions or an independent moral sense. The central question is therefore clear: can human ethics genuinely be applied to an algorithm?
The essay then explores the biological, philosophical, psychological and spiritual foundations of morality. Drawing on thinkers and researchers including Descartes, Damasio, Kant, Freud, Hume, Rousseau, Haidt and Joseph, it argues that ethics is closely connected to the organic brain, empathy, consciousness, moral intuition and social education. Different ethical frameworks—including consequentialism, deontology, virtue ethics and axiology—offer possible models for guiding artificial intelligence, but each faces serious limitations because moral values vary across cultures and because responsibility remains difficult to assign between the algorithm, its developer, its owner and its user.
Ultimately, the essay concludes that current artificial intelligence is not a moral agent because it lacks an organic brain, consciousness, emotions and genuine responsibility. Nevertheless, this does not mean that AI should operate without ethical safeguards. Through approaches such as “ethics by design,” human beings can encode rules, limits and principles into intelligent systems while recognising that the people who create and deploy them remain accountable. Read this thoughtful exploration of artificial intelligence and ethics to understand why the development of increasingly autonomous machines forces us to reconsider consciousness, responsibility, morality and the very definition of what it means to be human.
Digital technology’s environmental footprint
Summary
Rather than calling for an end to digital innovation, the article advocates a more responsible approach based on Green AI, systematic environmental reporting, energy-efficient algorithms, greener data-centre infrastructure and heat recovery.
It also discusses promising solutions such as urban heating systems powered by data-centre waste heat, carbon capture, enhanced rock weathering and improved research into model efficiency.
Ultimately, the text argues that the environmental impact of AI must be measured more transparently and addressed through innovation, cooperation and evidence-based decision-making.
Discover the complete article to explore how artificial intelligence could become more efficient, measurable and environmentally responsible.
Artificial Intelligence in the agronomy sector
Summary
Artificial intelligence is transforming agronomy into a more data-driven, resilient and sustainable sector. This article takes readers on a world tour across Asia, Oceania, the Americas, Africa and Europe to explore how AI, machine learning, the Internet of Things, satellite data, image recognition and drones are already addressing major agricultural challenges.
From irrigation optimization and crop monitoring to automated pollination, hydroponics and smart farming, these technologies can help farmers manage scarce resources, improve yields and respond more effectively to climate change and labor shortages.
Through concrete examples, the article examines KisanRaja’s smart irrigation system in India, agricultural drones in Thailand, robotic pollination experiments in Australia, AI-assisted agrochemical research and hydroponics in the Americas, as well as Amini’s data-driven agriculture platform in Kenya and machine-learning tools for maize disease detection in Tanzania. It also highlights European initiatives such as France’s AGROCONNECT project and the European SQAT soil-quality analysis tool. Together, these case studies show that AI in agriculture is not limited to high-tech farms: it can also support food security, improve access to agricultural information and provide practical solutions for farmers in regions particularly exposed to drought, crop disease and food insecurity.
The article concludes that AI has the potential to improve water management, detect plant diseases, reduce dangerous and physically demanding tasks, support precision agriculture, develop more resilient crops and contribute to global food security. However, its adoption remains constrained by financial costs, limited infrastructure, a shortage of skilled professionals, insufficient data, inadequate regulation, unequal access to knowledge and local cultural factors.
By combining technological innovation with social, economic and environmental considerations, this international overview invites readers to discover how artificial intelligence can serve not only agricultural productivity, but also human survival and climate resilience—so read the full article to understand why modern agriculture should be designed not merely to become more high-tech, but to become more capable of surviving.