Francis Valentin is the founder and CEO of AcademyX, a post-graduate institute focused on professional development.
Comment: As artificial intelligence dominates global headlines, the debate over AI ethics has begun to develop in the background. Whether you’re part of the camp of people jumping at the chance to try out the latest generative AI tool, or the camp that sees AI as the beginning of the end for humanity, there’s no doubt that the conversation on artificial intelligence has sparked. A deafening voice in the market.
So far, the starting point in the discourse on AI ethics has generally been issues of fair access and equity, knowledge sharing, the risk of built-in bias, and the possibility that AI can be harmed by unproven actors who use it for financial gain.
Broadly speaking, ethics is a set of highly subjective standards that are open to debate and disagreement. One man’s moral edge, the dividing line between right and wrong, is another man’s playground. Every day we test the boundaries of our ethical standards in how we live, work, treat others, and act under pressure.
Scratch the surface of the ethical debate, and it soon becomes clear that generative AI is different from previous human-led AI developments. Advances in Generative AI Many experienced AI researchers have expressed concern about the unstoppable nature of this technology due to its high degree of independence and autonomy.
Once trained, Generative AI doesn’t want humans to shape it. Able to generate results and work independently. That is a unique selling point. Generative AI removes the need for humans to perform various tasks. It is self-generated and can generate new content as it adapts and evolves based on the data it interacts with.
This can have unintended consequences, especially if AI starts generating harmful, misleading or untrue content.
Generative AI Until the end of last year, it was reasonable to expect that recent graduates would find entry-level jobs or graduate programs to further develop their capabilities in real-world environments.
But what if there is widespread adoption of generative AI, and there is no economic argument for hiring a grad lawyer, grad accountant or recently trained marketer? What if job boards are empty for entry-level graphic designers, writers, or developers roles as generative AI competes for the efficient and productive supply of these roles?
Even as we debate the many questionable data sources that feed generative AI’s large language models, we’re happy to ignore the risks and hunger for more. The ultimate virtual companion and guide that can help us with writing, booking, asking and planning makes us all proud to share how much easier our lives have become.
From-E2 / Catherine George / Things
As artificial intelligence dominates global headlines, the debate over AI ethics has begun to develop in the background.
But if our willingness to embrace generative AI makes life easier, including the rise of propaganda, will we all be scratching our heads as we ponder how we define fiction, ignoring most of the emerging ethical dilemmas? reality? We know that generative AI has incredible intelligence, ranging from the creation of events to the publication of detailed information on species that never existed. What if we miss the broader implications of building efficiency into algorithms?
What should we do when automating tasks? Do we change our understanding of what “work” is and give more value to people like nursing, the professions, and those who support others in the community? Do we need more fulfilling roles that are less about pay and more about meaning and purpose?
How does this shape our thinking about education and learning?
The Australian Parliament’s Standing Committee on Employment, Education and Training currently has an inquiry into the issues and opportunities presented by generative AI in early childhood education, schools and higher education.
This committee is exploring the impact of generative AI tools on teaching and assessment across all disciplines, including the role of teachers and the future education workforce.
A challenge we face when planning for the future of education and work is the need for a more realistic understanding of what will happen in the future. Technologies that came before generative AI improved humans physically, such as tractors, or mentally, such as spreadsheets. We can see the benefits, build business cases and plan the benefits these new technologies bring.
presented
Francis Valentin is the founder and CEO of AcademyX, a post-graduate institute focused on professional development.
AI is completely different. It weighs infinitely as new knowledge – an infinite amount of existing and newly generated without people needing it.
The next few years will determine the extent of job losses, measured entirely in terms of the rise of new occupations. Over time, we will better understand how artificial AI can change the political landscape as fake news becomes indistinguishable from the truth. We will begin to learn if the promise of new superdrugs and vaccines reduce the fatality rate of life-threatening diseases, and if AI creates new ways to combat climate change based on petabytes of data and analytical knowledge.
It may have taken thousands of years of education and training for humans to develop the knowledge to build self-teaching machines. We don’t know how far or how fast our supercharged AI technology will evolve. Do we look back and wonder why we didn’t put in more effort to prevent what came next, or do we live in a world where we often sit back and smell the roses?
[ad_2]