While AI and robotics reshape our reality, experts explore how these emerging tools could be used to create a more equitable future – from healthcare breakthroughs to Indigenous-led innovation.
In the season nine premiere of Monash’s podcast, learn how AI, deepfakes and humanoid robots are transforming human interaction and our perception of reality.
Education policymakers, businesses and the IT industry are all having their say about what AI in education might look like in the future, but one voice is missing from all these prognostications – the students who it will impact.
AI development is currently held by a small number of companies. Public vigilance can help ensure they stick to ethical use of the technology.
By basing any AI regulation on the principles of justice, we can take a balanced approach that promotes innovation while safeguarding societal interests.
Sexual deepfake abuse silences women, causing lasting harm, and laws to protect them are inconsistent. A global approach is vital if society truly wants to address the problem.
For the first time since gender identity was added to the Sex Discrimination Act, it’s being tested in court. At its heart, the case looks at the rights and recognition of transgender people.
While large language models such as ChatGPT offer vast potential in reshaping educational methods, the challenges are many.
Using AI tools, we re-created a version of our community’s younger selves to listen to their stories, and help them answer the age-old question: would your younger self be proud? Watch now.
Could our fascination with objectivity be the Pied Piper that led us to develop a machine some of us now fear and avoid?
The immediate challenge for educators is to determine what an AI-literate skill set looks like, in order to continue to teach and assess the core skills that have traditionally sat at the heart of the university.
Why did so many people choose to trust the Robodebt automated system over the drumbeat of criticism that it was unlawful, and its outcomes flawed?
Little has been said about the potential use and misuse of generative AI, particularly in medicine and healthcare.
In the AI age, rewarding the beauty of our imperfections by designing learning activities and assessments that reframe “deficiencies” as human assets that can be complemented by AI could be the way forward.
Could the massive data we all generate when connecting to, and disconnecting from, the internet help researchers better-understand sleep?
Healthcare is increasingly turning to AI to make patient care more effective, safe, and efficient, but the question remains: Does the reality match the intentions?
For Dr Faezeh Marzbanrad, engineering a solution for more intuitive foetal heart monitoring was born out of personal experience.
Researchers are working to transform conventional CCTV cameras into autonomously intelligent systems that can detect crimes in real time.
Human-centred design approaches can help solve some of our most pressing health challenges.
How has COVID-19 accelerated technological change, innovation and advancement in digital healthcare?
It's clear the role of technology in healthcare is growing and changing. But how these systems and tools are being implemented varies greatly, raising the question: Will digital health improve our lives or complicate them?
Monash's most recent cohort of Fulbright, Rhodes and Schwarzman scholars share their passions and plans for the future.
Will the rise of algorithmic decision-making and AI threaten the essential elements of being human?
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