Did you know that the world’s first computer programmer was a woman? That’s right, Ada Lovelace, an English mathematician and writer, is widely considered the first person to recognize the potential of a computer. She realized it could go beyond mere calculations and handle symbols and logical operations (besides numbers).

Yet, many scholars still argue that Lovelace’s contributions to the field have been vastly overstated, going as far as denying them altogether. Unfortunately, it all boils down to a belief that a woman “didn’t do, and shouldn’t do, and couldn’t do” such a thing.

Perhaps similar beliefs are the reason why women continue to be underrepresented in the field of computing today. Since Lovelace, many female tech visionaries have made significant and varied contributions to this field. And yet, the gap persists.

Is this how it will always be? Or can something be done to pave the way for a more inclusive future in computing? That’s what this article will explore.

The History of Women in Computing and Computer Science

Ada Lovelace’s work in the mid-19th century laid the foundation for modern computing, earning her the flattering title of “World’s First Computer Programmer.” But she wasn’t the only woman to make monumental contributions to computer science.

To understand the ever-growing push for equality in computing, you must first take a journey throughout history, highlighting some of these women’s most notable (and often overlooked) contributions in this field.

1952: Grace Hopper

Grace Hopper, a U.S. Navy admiral and computer scientist, invented the first computer compiler, translating English instructions into the target computer’s language. Code optimization, formula translation, and subroutines are just some computing developments inspired by Hopper’s groundbreaking work.

That’s why it shouldn’t be surprising that the world’s largest gathering of women technologists is named in her honor – the Grace Hopper Celebration.

1962: Katherine Johnson

Katherine Johnson, one of the women immortalized in the 2016 book and film “Hidden Figures,” was the one to run equations needed for John Glenn’s historic orbital flight in 1962. She would go on to work on other groundbreaking NASA missions, including the Apollo program.

1970s: Adele Goldberg

Though Adele Goldberg has made many contributions to computing, she’s best known for developing the Smalltalk programming language, which was crucial in shaping modern graphical user interfaces.

1985: Radia Perlman

The fact that Radia Perlman is often referred to as the “Mother of the Internet” probably tells you all you need to know about her importance in computing history. Perlman is renowned for inventing the Spanning Tree Protocol, a technology that greatly enhanced the reliability and efficiency of network communication.

1997: Anita Borg

In 1997, a U.S. computer scientist, Anita Borg, founded the Institute for Women in Technology. This institute had (and continues to have) two simple goals – to increase the representation of women in technical fields and enable them to create more technology.

2018: Joy Buolamwini

Joy Buolamwini, currently one of the most influential women in computer science, is primarily known for her groundbreaking graduate thesis uncovering significant racial and gender bias in AI services. She also founded the Algorithmic Justice League, a non-profit organization focusing on making tech more equitable and accountable.

The Present State of Women in Computing and Computer Science

There have undoubtedly been strides in increasing women’s representation in computing and computer sciences. Though it’s challenging to determine what came first, one of the most significant moves in this regard was giving credit where credit’s due.

For instance, the “ENIAC Six,” the six women tasked with programming the ENIAC (Electronic Numerical Integrator and Computer), weren’t initially recognized for their historic contributions. It took decades for this recognition to come, but this doesn’t make it any less monumental.

But even with these recognitions, initiatives, awareness campaigns, and annual events, the gender gap in computing persists. This gap can be seen by examining the number of women in three crucial computing and computer science stages – education, workforce, and leadership.

Today, there’s no shortage of degree programs in computer science, both traditional and online. But one look at the data about the students attending these programs, and you’ll understand the issue. Though more women hold tertiary degrees in the EU, they’re notably absent in computer science-related fields.

The situation in the computing workforce is no better. Currently, women occupy only 22% of all tech roles across European companies, and to make matters worse, this figure is on a downward trajectory.

Just when you think it can’t get any more dismal, take a look at the highest levels of professional leadership in computing and technology. One look at the C-suite (senior executives) stats reveals abysmal figures. For instance, only 9% of the U.K. C-suite leaders are women.

The Reasons Behind the Current State of Women in Computing

By now, you probably agree that something needs to change to address the gender disparity in computing. And it needs to change drastically. But to propose effective solutions, you must first examine the root of the problem.

Though it’s challenging to pinpoint a single explanation for the underrepresentation of women in computing, let’s break down factors that might’ve contributed to the current situation.

The Lack of Women Peers and Mentors

Paradoxically, women might be less willing to enter the computing field due to the lack of visible representation and mentorship. Essentially, this creates a never-ending cycle of underrepresentation, thus only deepening the gender gap.

Societal Stereotypes and Biases

Deep-rooted stereotypes about gender roles can, unfortunately, dissuade women from pursuing computer science. The same goes for stereotyping what average computer scientists look like and how they act (the “nerd” stereotype often reinforced by media).

Fortunately, initiatives promoting diversity and inclusion in computer science are breaking down these stereotypes gradually yet efficiently. The more women join this field, the more preconceived (and misguided) notions are shattered, demonstrating that excellence in computing knows no gender.

Hostile or Unwelcoming Work Environments

It’s well-documented that highly collaborative fields were less welcoming to gender minorities throughout history, and computer science was no different. Though the situation is much better today, some women might still fear working within a predominantly male team due to these lingering concerns from the past.

Educational Disparities

Numerous studies have shown that precollege girls are less likely to be exposed to various aspects of computing, from learning about hardware and software to dissecting a computer. So, it’s no wonder they might be less inclined to pursue a career in computing after lacking exposure to its foundational aspects.

A Worse Work-Life Balance

Many big tech companies are notorious for long working hours. The same goes for computer science as a field. The result? Some women might perceive this field as too demanding and impossible to reconcile with raising a family, leading them not to consider it.

How to Change the Curve

Though the past might’ve seemed bleak for women in computing, the present (and future) hold promise for positive change. Of course, no fundamental changes can happen without collective commitment and decisive action. So, what can be done to change the curve once and for all and promote greater gender diversity in computing?

Striving to Remove the Barriers

So, you believe women should experience all the opportunities that come with a career in computing. But this can only be done by actively addressing and eliminating the barriers impeding their progress in the field.

This means launching campaigns to dismantle the deep-rooted stereotypes, introducing policies to create supportive working (and learning) environments, and regularly recognizing and celebrating women’s achievements in computing.

Making the Field Exciting for Women

Educational institutions and companies also must pull their weight in making the computing field more appealing to women despite the existing challenges. This might involve hands-on and collaborative learning, showcasing diverse role models in the field (e.g., at the annual Grace Hopper Celebration of Women in Computing), and establishing mentorship programs.

Relying on Mutual Support

As long as women have a strong enough support system, they can conquer anything, including the often daunting field of computer science. Here are some organizations that can provide just that: (See if you can spot some familiar individuals in their names!)

Other than that, women now have access to a whole host of resources and opportunities they can use to advance their knowledge and excel in the field. These include the following:

  • Coding bootcamps
  • Career fairs for women in tech
  • STEM scholarships

Gaining Access to Education

Allowing equal access to education to women might be the most crucial element in changing the curve. After all, proper education serves as a direct gateway to opportunities and empowerment in computer science (and beyond).

With the popularization of online studying, many of the obstacles (both actual and perceived) that traditionally hindered women’s involvement in computing have disappeared. Now, women can learn about (and engage in) computer science from the comfort of their own homes, going at their own pace.

That’s precisely a part of the reason Alona, a Latvian student at the Open Institute of Technology, chose to pursue online education in computer science. Even with two children and a job (and a Bachelor’s degree in linguistics), she can find time to study and potentially earn her degree in as little as two years. Talk about an outstanding work-life balance!

When pursuing a degree in computer science at the OPIT, there are no hostilities, inadequacies, or barriers, only boundless opportunities.

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Expert Pierluigi Casale analyzes the adoption of AI by companies, the ethical and regulatory challenges and the differentiated approach between large companies and SMEs

By Gianni Rusconi

Easier said than done: to paraphrase the well-known proverb, and to place it in the increasingly large collection of critical issues and opportunities related to artificial intelligence, the task that CEOs and management have to adequately integrate this technology into the company is indeed difficult. Pierluigi Casale, professor at OPIT (Open Institute of Technology, an academic institution founded two years ago and specialized in the field of Computer Science) and technical consultant to the European Parliament for the implementation and regulation of AI, is among those who contributed to the definition of the AI ​​Act, providing advice on aspects of safety and civil liability. His task, in short, is to ensure that the adoption of artificial intelligence (primarily within the parliamentary committees operating in Brussels) is not only efficient, but also ethical and compliant with regulations. And, obviously, his is not an easy task.

The experience gained over the last 15 years in the field of machine learning and the role played in organizations such as Europol and in leading technology companies are the requirements that Casale brings to the table to balance the needs of EU bodies with the pressure exerted by American Big Tech and to preserve an independent approach to the regulation of artificial intelligence. A technology, it is worth remembering, that implies broad and diversified knowledge, ranging from the regulatory/application spectrum to geopolitical issues, from computational limitations (common to European companies and public institutions) to the challenges related to training large-format language models.

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When we specifically asked how CEOs and C-suites are “digesting” AI in terms of ethics, safety and responsibility, Casale did not shy away, framing the topic based on his own professional career. “I have noticed two trends in particular: the first concerns companies that started using artificial intelligence before the AI ​​Act and that today have the need, as well as the obligation, to adapt to the new ethical framework to be compliant and avoid sanctions; the second concerns companies, like the Italian ones, that are only now approaching this topic, often in terms of experimental and incomplete projects (the expression used literally is “proof of concept”, ed.) and without these having produced value. In this case, the ethical and regulatory component is integrated into the adoption process.”

In general, according to Casale, there is still a lot to do even from a purely regulatory perspective, due to the fact that there is not a total coherence of vision among the different countries and there is not the same speed in implementing the indications. Spain, in this regard, is setting an example, having established (with a royal decree of 8 November 2023) a dedicated “sandbox”, i.e. a regulatory experimentation space for artificial intelligence through the creation of a controlled test environment in the development and pre-marketing phase of some artificial intelligence systems, in order to verify compliance with the requirements and obligations set out in the AI ​​Act and to guide companies towards a path of regulated adoption of the technology.

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CCN: Australia Tightens Crypto Oversight as Exchanges Expand, Testing Industry’s Appetite for Regulation
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By Kurt Robson

Over the past few months, Australia’s crypto industry has undergone a rapid transformation following the government’s proposal to establish a stricter set of digital asset regulations.

A series of recent enforcement measures and exchange launches highlight the growing maturation of Australia’s crypto landscape.

Experts remain divided on how the new rules will impact the country’s burgeoning digital asset industry.

New Crypto Regulation

On March 21, the Treasury Department said that crypto exchanges and custody services will now be classified under similar rules as other financial services in the country.

“Our legislative reforms will extend existing financial services laws to key digital asset platforms, but not to all of the digital asset ecosystem,” the Treasury said in a statement.

The rules impose similar regulations as other financial services in the country, such as obtaining a financial license, meeting minimum capital requirements, and safeguarding customer assets.

The proposal comes as Australian Prime Minister Anthony Albanese’s center-left Labor government prepares for a federal election on May 17.

Australia’s opposition party, led by Peter Dutton, has also vowed to make crypto regulation a top priority of the government’s agenda if it wins.

Australia’s Crypto Growth

Triple-A data shows that 9.6% of Australians already own digital assets, with some experts believing new rules will push further adoption.

Europe’s largest crypto exchange, WhiteBIT, announced it was entering the Australian market on Wednesday, March 26.

The company said that Australia was “an attractive landscape for crypto businesses” despite its complexity.

In March, Australia’s Swyftx announced it was acquiring New Zealand’s largest cryptocurrency exchange for an undisclosed sum.

According to the parties, the merger will create the second-largest platform in Australia by trading volume.

“Australia’s new regulatory framework is akin to rolling out the welcome mat for cryptocurrency exchanges,” Alexander Jader, professor of Digital Business at the Open Institute of Technology, told CCN.

“The clarity provided by these regulations is set to attract a wave of new entrants,” he added.

Jader said regulatory clarity was “the lifeblood of innovation.” He added that the new laws can expect an uptick “in both local and international exchanges looking to establish a foothold in the market.”

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“The Web3 community is still largely looking to the U.S. in anticipation of a more crypto-friendly stance from the Trump administration,” Wyatt added.

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