Artificial intelligence is advancing in leaps and bounds, reshaping industries, redefining jobs, and even influencing the way we think. Recently Google confirmed it will sign the European Union’s General?Purpose AI Code of Practice —a voluntary framework designed to help providers of AI models comply with the upcoming AI Act by enhancing transparency, risk management and copyright safeguards. This decision aligns Google with other signatories like OpenAI and Mistral, while Meta has outright refused to participate—reflecting deep tensions within big tech over regulatory alignment.
These milestones force us to ask uncomfortable questions. Who is accountable when an AI system denies a loan, screens a job applicant, or deprioritizes a patient in an emergency? Should an AI reflect the moral values of its creator, or those of its users—and what happens when those values collide? As we feed these systems more data, are we shaping human behavior to better “fit” what machines expect of us? And when transparency obligations require public disclosure of training data summaries, who decides how much transparency is too much exposure of trade secrets?
Rather than rushing to draw bright lines around what must or must not be regulated, perhaps the most urgent step is to keep asking these questions—openly, relentlessly, and with voices from far beyond the tech sector. Because the future of AI ethics it’s a political and collective issue.
In my role at M.Sc. in PSSD (Product-Service System Design), I’m a strong advocate for adopting AI in education. I believe AI can reshape how we define learning, assignments, and grading—transforming traditional paradigms into more personalized, dynamic interactions. But even in education, pressing questions persist: should algorithms determine grades? what use of GenAI is allowed for an assignment? How do we ensure fairness when providing tailored learning pathways? What if an AI “tutoring assistant” reinforces biased practices or narrows creative exploration? How do we preserve mentorship in an increasingly automated environment? These dilemmas extend our ethical inquiry beyond regulation—asking how AI can enrich learning and teaching while upholding values of equity, transparency, and academic integrity.
QUOTE OF THE MONTH
“AI is going to reshape every industry and every job.” – Reid Hoffman, Co-founder of LinkedIn
The full post is available on Linkedin
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