AURORA INSIGHTS

AURORA INSIGHTS

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Innovating Sales Technology with AI: Bridging Between Personalization and Scalability

Innovating Sales Technology with AI: Bridging Between Personalization and Scalability

Tapping into the power of AI, businesses can analyze data to understand what their customers want, create tailored recommendations and make every interaction feel unique all while managing thousands of relationships at scale.

It’s not just about selling more—it’s about building deeper, more meaningful connections with customers in a way that’s efficient and impactful.

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AI, News, and You

AI, News, and You

The news industry is on shaky ground. Worldwide we are seeing a decline in local newspapers, and major outlets aren’t faring much better. With the digital age, news companies have struggled to adapt, especially with the recent surge of generative AI.

No matter how you consume news, media companies must rapidly adapt to this changing landscape.

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How Creative Agencies are Transforming Filmmaking with New Age AI/ML Models

How Creative Agencies are Transforming Filmmaking with New Age AI/ML Models

Today’s audiences demand more immersive, interactive, and hyper-realistic content.

To keep up, creative studios are moving away from outdated, slow, and expensive workflows, and turning to faster, smarter solutions with AI. As these tools evolve, the line between digital and physical worlds will continue to blur.

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Never Neutral: How Anthropology Can Shape the Future of AI

Never Neutral: How Anthropology Can Shape the Future of AI

AI is a cultural force, deeply intertwined with the human experience. Despite decades of technological advancements, one constant remains—humans and the cultures they bring.

Drawing on the groundbreaking research of Dr. Diana E. Forsythe1, an anthropologist who studied AI labs in the 1980s and 1990s, this article explores how cultural and social dynamics shape AI development and why anthropology is essential for creating better, more inclusive systems.

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Introducing the Human Collective Intelligence Alignment Problem: Say Hi to HI

Introducing the Human Collective Intelligence Alignment Problem: Say Hi to HI

We must remember that just as AI is not alone in the universe, neither are we.

We are all part of a human collective superintelligence that, whilst far greater than our own, depends on the intelligence, agency and values of us all.

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Evaluating Low-Risk AI Systems: A Responsible Adoption Approach

Evaluating Low-Risk AI Systems: A Responsible Adoption Approach

Among its various branches, generative AI stands out for its ability to empower organizations and individuals in daily tasks. The integration of AI across diverse functions is becoming standard practice, with enterprise adoption significantly influencing its acceptability. Approximately 85% of AI systems are anticipated to be classified as low-risk or no-risk, yet trust in these systems remains a critical challenge.

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The AI Race and the Urgency of AI Safety

The AI Race and the Urgency of AI Safety

At the core of the 21st century, we’re experiencing a technological upheaval unlike any before: the emergence of artificial intelligence (AI). In the midst of this enthusiasm, a significant worry is emerging: the possible risks associated with unregulated AI progress. As Generation Z, the tech-savvy individuals set to inherit this AI-powered era, we need to address the critical issue of AI security.

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Building in Mid-Air: 2024 In Review with Catherine McMillan and Noah Frank

Building in Mid-Air: 2024 In Review with Catherine McMillan and Noah Frank

In Boston, over coffee and whiteboards, we decided to act. This year, that action took form in our Aurix’s first major experiment: Aurora Insights. We are pleased at how this medium has truly become a space amplifying emerging voices at the cutting edge of AI research, governance, and strategy, featuring contributions on ethical AI frameworks and innovative applications in education and healthcare. Thank you to all who made this possible!

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There’s No ‘We’ in Technology: Protecting Against the Invisible Erosion of Human Rights
ai transformtion, ai ethics, ai governance, human rights Jasmine Hasmatali ai transformtion, ai ethics, ai governance, human rights Jasmine Hasmatali

There’s No ‘We’ in Technology: Protecting Against the Invisible Erosion of Human Rights

Advocating for embedding human rights at the core of AI development would maintain consistency, accountability and reliability in creating safe and trustworthy AI systems. The biggest challenge that lies ahead is how we reconcile the different priorities and ensure that people’s rights are understood and prioritised, not pushed aside for unrestricted growth and profit.

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The Silicocene: Entering a New Era of Technology, Ethics, and Collective Responsibility
ai transformtion, ai augmentation, silocene, ai ethics Sobanan Narenthiran ai transformtion, ai augmentation, silocene, ai ethics Sobanan Narenthiran

The Silicocene: Entering a New Era of Technology, Ethics, and Collective Responsibility

This period is characterised by the embedding of silicon-based technologies into nearly every facet of life. Unlike the preceding Anthropocene, marked by human-driven environmental impact, the Silicocene is poised to be shaped by humanity's relationship with digital and artificial intelligence systems.

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Synthetic Data and Privacy: The AI Glow-Up We’ve All Been Waiting For

Synthetic Data and Privacy: The AI Glow-Up We’ve All Been Waiting For

Synthetic data isn’t always sunshine and rainbows. If the real data used to generate synthetic versions has biases (like hiring patterns that favor certain groups), those bad notions might sneak into the AI’s synthetic learnings. So, we have to ask: Are we bias-proofing these systems?

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Regulating AI Not by Fear, but for Common Sense
opinion, artificial intelligence, responsible ai Ana Carolina Sousa Dias opinion, artificial intelligence, responsible ai Ana Carolina Sousa Dias

Regulating AI Not by Fear, but for Common Sense

Many believe that artificial intelligence should not be regulated, fearing it would lead to government censorship. I disagree. While it's true that humans, even in judicial bodies, can make mistakes that harm others, machines are not exempt from this. On the contrary, automated learning systems often inherit biases from their human creators.

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