

The journey towards building ethical AI is challenging, yet it also presents an opportunity to shape a future where technology serves as a force for good
By Riccardo Ocleppo, March 14th 2024
Source here:eCampus News
In the exponentially-evolving realm of artificial intelligence (AI), concerns surrounding AI bias have risen to the forefront, demanding a collective effort towards fostering ethical AI practices. This necessitates understanding the multifaceted causes and potential ramifications of AI bias, exploring actionable solutions, and acknowledging the key role of higher education institutions in this endeavor.
Unveiling the roots of AI bias
AI bias is the inherent, often systemic, unfairness embedded within AI algorithms. These biases can stem from various sources, with data used to train AI models often acting as the primary culprit. If this data reflects inequalities or societal prejudices, it can unintentionally translate into skewed algorithms perpetuating those biases. But bias can also work the other way around: take the recent case of bias by Google Gemini, where the generative AI created by Google, biased by the necessity of more inclusiveness, actually generated responses and images that have nothing to do with the reality it was prompted to depict.
Furthermore, the complexity of AI models, frequently characterized by intricate algorithms and opaque decision-making processes, compounds the issue. The very nature of these models makes pinpointing and rectifying embedded biases a significant challenge.
Mitigating the impact: Actionable data practices
Actionable data practices are essential to address these complexities. Ensuring diversity and representativeness within training datasets is a crucial first step. This involves actively seeking data encompassing a broad spectrum of demographics, cultures, and perspectives, ensuring the AI model doesn’t simply replicate existing biases.
In conjunction with diversifying data, rigorous testing across different demographic groups is vital. Evaluating the AI model’s performance across various scenarios unveils potential biases that might otherwise remain hidden. Additionally, fostering transparency in AI algorithms and their decision-making processes is crucial. By allowing for scrutiny and accountability, transparency empowers stakeholders to assess whether the AI functions unbiasedly.
The ongoing journey of building ethical AI
Developing ethical AI is not a one-time fix; it requires continuous vigilance and adaptation. This ongoing journey necessitates several key steps:
- Establishing ethical guidelines: Organizations must clearly define ethical standards for AI development and use, reflecting fundamental values such as fairness, accountability, and transparency. These guidelines serve as a roadmap, ensuring AI projects align with ethical principles.
- Creating multidisciplinary teams: Incorporating diverse perspectives into AI development is crucial. Teams of technologists, ethicists, sociologists, and individuals representing potentially impacted communities can anticipate and mitigate biases through broader perspectives.
- Fostering an ethical culture: Beyond establishing guidelines and assembling diverse teams, cultivating an organizational culture prioritizes ethical considerations in all AI projects is essential. Embedding ethical principles into an organization’s core values and everyday practices ensures ethical considerations are woven into the very fabric of AI development.
The consequences of unchecked bias
Ignoring the potential pitfalls of AI bias can lead to unintended and often profound consequences, impacting various aspects of our lives. From reinforcing social inequalities to eroding trust in AI systems, unchecked bias can foster widespread skepticism and resistance toward technological advancements.
Moreover, biased AI can inadvertently influence decision-making in critical areas such as healthcare, employment, and law enforcement. Imagine biased algorithms used in loan applications unfairly disadvantaging certain demographics or in facial recognition software incorrectly identifying individuals, potentially leading to unjust detentions. These are just a few examples of how unchecked AI bias can perpetuate inequalities and create disparities.
The role of higher education in fostering change
Higher education institutions have a pivotal role to play in addressing AI bias and fostering the development of ethical AI practices:
- Integrating ethics into curricula: By integrating ethics modules into AI and computer science curricula, universities can equip future generations of technologists with the necessary tools and frameworks to identify, understand, and combat AI bias. This empowers them to develop and deploy AI responsibly, ensuring their creations are fair and inclusive.
- Leading by example: Beyond educating future generations, universities can also lead by example through their own research initiatives. Research institutions are uniquely positioned to delve into the complex challenges of AI bias, developing innovative solutions for bias detection and mitigation. Their research can inform and guide broader efforts towards building ethical AI.
- Fostering interdisciplinary collaboration: The multifaceted nature of AI bias necessitates a collaborative approach. Universities can convene experts from various fields, including computer scientists, ethicists, legal scholars, and social scientists, to tackle the challenges of AI bias from diverse perspectives. This collaborative spirit can foster innovative and comprehensive solutions.
- Facilitating public discourse: Universities, as centers of knowledge and critical thinking, can serve as forums for public discourse on ethical AI. They can facilitate conversations between technologists, policymakers, and the broader community through dialogues, workshops, and conferences. This public engagement is crucial for raising awareness, fostering understanding, and promoting responsible development and deployment of AI.
Several universities and higher education institutions, wallowing in the above principles, have created technical degrees in artificial intelligence shaping the artificial intelligence professionals of tomorrow by combining advanced technical skills in AI areas such as machine learning, computer vision, and natural language processing while developing in each one of them ethical and human-centered implications.
Also, we are seeing prominent universities throughout the globe (more notably, Yale and Oxford) creating research departments on AI and ethics.
Conclusion
The journey towards building ethical AI is challenging, yet it also presents an opportunity to shape a future where technology serves as a force for good. By acknowledging the complex causes of AI bias, adopting actionable data practices, and committing to the ongoing effort of building ethical AI, we can mitigate the unintended consequences of biased algorithms. With their rich reservoir of knowledge and expertise, higher education institutions are at the forefront of this vital endeavor, paving the way for a more just and equitable digital age.
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Source:
- Metro, published on October 09th, 2025
After ChatGPT came on the scene in 2022, the tech industry quickly began comparing the arrival of AI to the dawn of the internet in the 1990s.
Back then, dot-com whizzes were minting easy millions only for the bubble to burst in 2000 when interest rates were hiked. Investors sold off their holdings, companies went bust and people lost their jobs.
Now central bank officials are worried that the AI industry may see a similar boom and bust.
A record of the Financial Policy Committee’s October 2 meeting shows officials saying financial market evaluations of AI ‘appear stretched’.
‘This, when combined with increasing concentration within market indices, leaves equity markets particularly exposed should expectations around the impact of AI become less optimistic,’ they added.
AI-focused stocks are mainly in US markets but as so many investors across the world have bought into it, a fallout would be felt globally.
ChatGPT creator OpenAI, chip-maker Nvidia and cloud service firm Oracle are among the AI poster companies being priced big this year.
Earnings are ‘comparable to the peak of the dot-com bubble’, committee members said.
Factors like limited resources – think power-hungry data centres, utilities and software that companies are spending billions on – and the unpredictability of the world’s politics could lead to a drop in stock prices, called a ‘correction’.
In other words, the committee said, investors may be ignoring how risky AI technology is.
Metro spoke with nearly a dozen financial analysts, AI experts and stock researchers about whether AI will suffer a similar fate. There were mixed feelings.
‘Every bubble starts with a story people want to believe,’ says Dat Ngo, of the trading guide, Vetted Prop Firms.
‘In the late 90s, it was the internet. Today, it’s artificial intelligence. The parallels are hard to ignore: skyrocketing stock prices, endless hype and companies investing billions before fully proving their business models.
‘The Bank of England’s warning isn’t alarmist – it’s realistic. When too much capital chases the same dream, expectations outpace results and corrections follow.’
Dr Alessia Paccagnini, an associate Professor from the University College Dublin’s Michael Smurfit Graduate Business School, says that companies are spending £300billion annually on AI infrastructure, while shoppers are spending $12billion. That’s a big difference.
Tech firms listed in the US now represent 30% of New York’s stock index, S&P 500 Index, the highest proportion in 50 years.
‘As a worst-case scenario, if the bubble does burst, the immediate consequences would be severe – a sharp market correction could wipe trillions from stock valuations, hitting retirement accounts and pension funds hard,’ Dr Paccagnini adds.
‘In my opinion, we should be worried, but being prepared could help us avoid the worst outcomes.’
One reason a correction would be so bad is because of how tangled-up the AI world is, says George Sweeney, an investing expert at the personal finance website site Finder.
‘If it fails to meet the lofty expectations, we could see an almighty unravelling of the AI hype that spooks markets, leading to a serious correction,’ he says.
Despite scepticism, AI feels like it’s everywhere these days, from dog bowls and fridges to toothbrushes and bird feeders.
And it might continue that way for a while, even if not as enthusiastically as before, says Professor Filip Bialy, who specialises in computer science and AI ethics at the at Open Institute of Technology.
‘TAI hype – an overly optimistic view of the technological and economic potential of the current paradigm of AI – contributes to the growth of the bubble,’ he says.
‘However, the hype may end not with the burst of the bubble but rather with a more mature understanding of the technology.’
Some stock researchers worry that the AI boom could lose steam when the companies spending billions on the tech see profits dip.
The AI analytic company Qlik found that only one in 10 business say their AI initiatives are seeing sizeable returns.
Qlik’s chief strategy officer, James Fisher, says this doesn’t show that the hype for AI is bursting, ‘but how businesses look at AI is changing’.

OPIT – Open Institute of Technology offers an innovative and exciting way to learn about technology. It offers a range of bachelor’s and master’s programs, plus a Foundation Year program for those taking the first steps towards higher education. Through its blend of instruction-based and independent learning, it empowers ambitious minds with the skills and knowledge needed to succeed.
This guide covers all you need to know to join OPIT and start your educational journey.
Introducing the Open Institute of Technology
Before we dig into the nitty-gritty of the OPIT application process, here’s a brief introduction to OPIT.
OPIT is a fully accredited Higher Education Institution under the European Qualification Framework (EQF) and the MFHEA Authority. It offers exclusively online education in English to an international community of students. With a winning team of top professors and a specific focus on computer science, it trains the technology leaders of tomorrow.
Some of the unique elements that characterize OPIT’s approach include:
- No final exams. Instead, students undergo progressive assessments over time
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- 24/7 support, including AI assistance and student communities, so everyone feels supported
- A strong network of company connections, unlocking doors for graduates
Reasons to Join OPIT
There are many reasons for ambitious students and aspiring tech professionals to study with OPIT.
Firstly, since all the study takes place online, it’s a very flexible and pleasant way to learn. Students don’t feel the usual pressures or suffer the same constraints they would at a physical college or university. They can attend from anywhere, including their own homes, and study at a pace that suits them.
OPIT is also a specialist in the technology field. It only offers courses focused on tech and computer science, with a team of professors and tutors who lead the way in these topics. This ensures that students get high-caliber learning opportunities in this specific sector.
Learning at OPIT is also hands-on and applicable to real-world situations, despite taking place online. Students are not just taught core skills and knowledge, but are also shown how to apply those skills and knowledge in their future careers.
In addition, OPIT strives to make technology education as accessible, inclusive, and affordable as possible. Entry requirements are relatively relaxed, fees are fair, and students from around the world are welcome here.
What You Need to Know About Joining OPIT
Now you know why it’s worth joining OPIT, let’s take a closer look at how to go about it. The following sections will cover how to apply to OPIT, entry requirements, and fees.
The OPIT Application Process
Unsurprisingly for an online-only institution, the application process for OPIT is all online, too. Users can submit the relevant documents and information on their computers from the comfort of their homes.
- Visit the official OPIT site and click the “Apply now” button to get started, filling out the relevant forms.
- Upload your supporting documents. These can include your CV, as well as certificates to prove your past educational accomplishments and level of English.
- Take part in an interview. This should last no more than 30 minutes. It’s a chance for you to talk about your ambitions and background, and to ask questions you might have about OPIT.
That’s it. Once you complete the above steps, you will be admitted to your chosen course and can start enjoying OPIT education once the first term begins. You’ll need to sign your admissions contract and pay the relevant fees, then begin classes.
Entry Requirements for OPIT Courses
OPIT offers a small curated collection of courses, each with its own requirements. You can consult the relevant pages on the official OPIT site to find out the exact details.
For the Foundation Program, for example, you simply need an MQF/EQF Level 3 or equivalent qualification. You also need to demonstrate a minimum B2 level of English comprehension.
For the BSc in Digital Business, applicants should have a higher secondary school leaving certificate, plus B2-level English comprehension. You can also support your application with a credit transfer from previous studies or relevant work experience.
Overall, the requirements are simple, and it’s most important for applicants to be ambitious and eager to build successful careers in the world of technology. Those who are driven and committed will get the best from OPIT’s instruction.
Fees and Flexible Payments at OPIT
As mentioned above, OPIT makes technological education accessible and affordable for all. Its tuition fees cover all relevant teaching materials, and there are no hidden costs or extras. The institute also offers flexible payment options for those with different budgets.
Again, exact fees vary depending on which course you want to take, so it’s important to consult the specific info for each one. You can pay in advance to enjoy 10% off the final cost, or refer a friend to also obtain a discount.
In addition to this, OPIT offers need-based and merit-based scholarships. Successful candidates can obtain discounts of up to 40% on bachelor’s and master’s tuition fees. This can substantially bring the term cost of each program down, making OPIT education even more accessible.
Credit Transfers and Experience
Those who are entering OPIT with pre-existing work experience or relevant academic achievements can benefit from the credit transfer program. This allows you to potentially skip certain modules or even entire semesters if you already have relevant experience in those fields.
OPIT is flexible and fair in terms of recognizing prior learning. So, as long as you can prove your credentials and experience, this could be a beneficial option for you. The easiest way to find out more and get started is to email the OPIT team directly.
Join OPIT Today
Overall, the process to join OPIT is designed to be as easy and stress-free as possible. Everything from the initial application forms to the interview and admission process is straightforward. Requirements and fees are flexible, so people in different situations and from different backgrounds can get the education they want. Reach out to OPIT today to take your first steps to tech success.
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