• 
• 15 min
• The App Solutions

Overview of recommender systems, which are information filtering algorithms design to suggest content or products to a particular user.

• Data Privacy
• Technology Based Entertainment and Leisure
• Recommender Systems
• Data Mining

• 
• 3 min
• Kinolab
• 2009

In a distant future after the “Water War” in which much of the natural environment was destroyed and water has become scarce, Asha works as a curator at a museum which displays the former splendor of nature on Earth. She receives a mysterious soil sample which, after digital analysis using a object recognition to take data from the soil, surprisingly contains water.

• Technology Based Environmental Impact
• Object Recognition
• Data Mining

• 
• 5 min
• Nature
• 2025

Research has found that 90% of studies on AI development, as well as 86% of the resulting patents, involve human imaging. This means that data used to train AI models are well suited to being used in surveillance applications by military, law enforcement, corporations, and other private actors. There is also substantial evidence to suggest that much of the research that created the current models were funded by government and military agencies.
 

• Civil Surveillance
• AI
• Big Data

• 
• 5 min
• CNBC
• 2025

Following in the footsteps of the state of Indiana (2019), almost all states in the US provide tax exemptions to eligible data centers. The demand for data centers was high when the Indiana legislation was passed, but it has skyrocketed ever since the advent of LLMs and their need for more storage and energy. To attract data centers, states are forfeiting millions of dollars in taxes. Questions about whether having these exemptions is even profitable, considering that they don’t create that many jobs but use a significant amount of electricity, along with questions about who is getting these benefits, are being raised. It was found that a company applied for an exemption, but it was another holding company for Google.
 
 

• Governing Technologies
• Big Data

• 
• 125 min
• International Journal of Law and Information Technology
• 2021

Argues that the posthumous digital presence of individuals—such as AI-generated simulations, voice clones, and griefbots—deserves legal and ethical protections, even after a person has died. The author proposes the concept of “digital souls” to encapsulate the idea that a person’s data, personality emulations, and AI-generated likenesses should be treated with dignity and moral consideration, not just as property or public content.

• Digital Immortality
• AI
• Big Data

• 
• 35 min
• Submitted to AIES '25

Critically examines emerging technologies that enable digital immortality—the preservation and simulated interaction with the dead through AI-generated chatbots, deepfakes, or virtual avatars using personal data. The paper argues that these technologies represent a form of techno-solutionism, providing artificial remedies for the complex human experience of grief. The authors warn that digital immortality platforms—marketed by startups like HereAfter AI, Eter9, and others—pose psychological, ethical, legal, and environmental risks, especially to vulnerable grieving individuals.

• Digital Immortality
• AI
• Big Data
• Internet and Social Media