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Canada’s proposed Artificial Intelligence and Data Act (AIDA) is its first attempt to govern AI systems entrenched in everyday life. While the Act sets out to protect the public through a risk-based framework, its vague definitions, limited equity protections, and exclusionary development process raise concerns.

A teenager in crisis shouldn’t have to wonder whether their AI “listener” is saving their life or saving their data. As more youth turn to chatbots for comfort, weak safeguards turn private pain into unprotected information. We urgently need rules that provides safeguard for our youth.

AI is increasingly embedded in key societal sectors - work, housing, care. The EU AI Act aims to provide a safeguard, however its transparency gaps risk leaving people vulnerable to decisions they cannot see, challenge, or understand.

In an age where our lives are increasingly lived online, the data we leave behind has become both a source of vulnerability. This piece explores how this threats the public to unprecedented risks, and why America’s existing privacy laws are no match for the scale of this new digital reality.

The EU AI Act is celebrated as a landmark in global tech regulation. But it contains a quiet omission: it does not account for the unequal realities in which AI operates. This piece examines how a law built to manage risk can still overlook the people most vulnerable to algorithmic harm.

AI influences who gets interviewed, shortlisted, or rejected; often before a human ever sees a CV. But as New York City’s first-in-the-US hiring law shows, regulating these systems is far from straightforward. This piece examines what Local Law 144-21 gets right, where it falls short, and what needs change.

As more Moldovans turn to AI for advice, support, and everyday problem-solving, few realise their conversations have no legal protection at all. This proposal asks how Moldova can close this gap by creating a new form of confidentiality fit for the age of AI.

When the FDA updated its medical AI policy, it reshaped the lives of patients who will rely on these systems. However, algorithms guiding clinical decisions risk leaving entire communities behind. This piece examines how a policy like may deepen inequality, and what it would take to prevent it.

As AI quietly takes over decisions about jobs, housing, credit, and healthcare, California faces a dilemma: how do you protect people without crushing the innovation in Silicon Valley?

In the age of AI governance, trust has to be legislated. But how do we create AI oversight that is strong enough to protect people, but flexible enough to let innovation breathe? Here’s our attempt to bridge that gap.

Kairos stands where history meets code - a digital humanist turning ancient manuscripts into living data. She explores how AI can revive culture’s past without erasing its heart. She reminds us that progress must still feel human.

TAP Fusion is a human centered AI project that brings together brain scans, speech, text, and clinical data to detect Alzheimer’s risk earlier and more fairly, showing how thoughtful design can make healthcare technology more inclusive.

Algorithms now decide who gets a job, a loan, or even a voice, but they carry the hidden values of their makers. This paper explores how such silent choices fuel discrimination and asks how justice can be reclaimed in the digital age.

China’s new AI + Action Plan marks a turning point: treating AI not as a tool, but as the backbone of future economies, governance, and global collaboration. From smart enterprises to UN-led governance, the blueprint signals how AI will reshape industries, jobs, and society by 2030.

On August 22, China released draft AI Ethics Services Measures (2025). Building on earlier policies, it sets a three tiered framework that stresses responsibility, risk management, and compliance, placing China’s approach between the EU’s strict rules and the US’s more fragmented model.

Dr. Christy Hamilton (UC Santa Barbara) looks at how technology shapes how we think about our own thinking. She reflects on digital divides, our reliance on familiar platforms, and the risks of personalization. We conclude that design choices can either deepen inequality or build more inclusive digital futures.

The release of Grok 4 in 2025 was celebrated as a milestone in multimodal large-scale language models. However, closer examination reveals troubling biases, partisan tendencies, and ethical risks, raising urgent questions about neutrality and accountability in artificial intelligence.

AI now permeates healthcare, education, and social media, but it mirrors human data and values, reproducing bias and inequality. This essay questions whether AI can be unbiased, and who holds the authority to decide so.

High school designer Vivianne Hartan uses bold graphics and sustainable fashion to challenge the myth of algorithmic neutrality. Her collection Coded Inequality turns T-shirts into wearable protests, blending art and activism to show that algorithms aren’t neutral tools but reflections of human choices and values.

The gig economy, built on short term, on demand jobs from platforms like Uber or Deliveroo, promises freedom. However, algorithms decide who gets work, pay, and stability. Efficiency often hides old inequalities, especially for women, where caregiving, safety, or choice are penalized while the “ideal worker” is rewarded.