On 7th March, WAI Ethics committee hosted Ivana Bartoletti, Technical Director working on Privacy at Deloitte, an Author of An Artificial Revolution: On Power, Politics and AI. Ivana is also a co-founder of Women Leading in AI Network and an internationally recognised thought leader in the field of responsible technology, focusing on privacy at the intersection with new tech and digital trade.

The discussion with Ivana centered around the issues of data privacy and collection, Ethics in practice, definition of fairness, and the problematic surrounding gendered voice assistant technologies and robotics.

Challenges of data moving freely across the globe

Ivana Bartoletti shared her Interest with the group in the issue of data sharing across the globe. How come capital can move freely globally, but when it comes to data everything assumes a more localised and a nationalistic approach? What kind of capital data is today?

Across the globe currently there is no alignment on data sharing, even though there is increasing alignment on data protection. If an individual is based in the EU their data has to be treated according to the laws of the EU. Very important example for Europe is GDPR, which addresses the transfer of personal data outside the EU and EEA areas.

The legal and ethical challenges present themselves in the form of intrusion coming from the state, or different states, surveillance from the companies, are some of the current problematic related to data sharing and protection. These challenges would be enhanced, not reduced, should data protectionism prevail over data protection.

Data collection: Ethics of consent

The group has raised the following question: Are the minorities better off sharing and giving consent to their data knowing that they are underrepresented and what underrepresentation in AI entails? The discussion moved on to point out to inequality of the majority represented group being able to afford to not to consent sharing their data, while for the minorities it means that the algorithm will not necessarily work for their benefit. Do minority groups have an ethical duty to share their data for training purposes of AI, knowing how scarce their data is to contribute to designing fairer models? The problem with consent is that is hardly ever freely given, as dark patterns, deception around the perceived value exchange seem to be the main elements today.

“Data can be collected for reasons to surveil, to punish in the case of criminal actions, or to include for representation, model robustness, and fairness.”
— Ivana Bartoletti

Definition of Fairness and Ethics in practice

Ivana pointed out that currently we operate on not well defined definitions of fairness across disciplines. In privacy law, it seems to be more about power allocation between a controller and a data subject, while in discrimination law fairness seems to focus on outcomes and has issues of applicability due to the opacity of algorithmic systems.

Court cases are starting to emerge. Deliveroo in Bologna had an algorithm which they were using for riders to book their shift. The algorithm that was used to evaluate the credibility and trustworthiness of the riders. The algorithm was judged to be discriminatory by the court in Bologna, evaluating a rider on their trustworthiness the same whether they were sick or simply choosing not to work.

Dutch court ruled that the System Risk Indication (SyRI) algorithm system used by the Dutch government for detecting welfare fraud in areas such as benefits, allowances, and taxes, was in violation of human rights.

Amsterdam’s Algorithm Register, a transparent overview of the artificial intelligence systems and algorithms used by the City of Amsterdam, is an example of ethics in practice. The registry lists datasets used to train AI, descriptions of how and where an algorithm is used, and its potential risks and biases. There is also an option for citizens to give their feedback on the use of AI technology in their city.

Gendered AI in voice technologies and robotics

Throughout history most artists and authors originating from a narrow demographic group were in a position to define the standard of female beauty and demeanor. Today high fashion industry designers influence what looks and measures are considered appealing and worth striving for for all genders. Are we facing another such scenario of imposing gender standards with Sophia the Robot, Alexa, Siri, and assistant technologies using female voice? Is a non-gendered and culture neutral language even possible for voice technologies and robotics?

An example of a controversial response from Siri was when a human user told ‘her’, “Hey Siri, you’re a bi***.” Siri responded “I’d blush if I could”. UNESCO’s initiative then used the title I’d blush if I could for publication of strategies to close gender divides in digital skills through education.

“Siri’s ‘female’ obsequiousness — and the servility expressed by so many other digital assistants projected as young women — provides a powerful illustration of gender biases coded into technology products”
 — UNESCO 2030 Digital Fasttrack Studios (DFS)

Today children are growing up giving orders to Siri, Alexa and other voice assistants. We do not know to what extent this is done in a condescending way but these voice assistants most commonly are used with a female voice and perceived to have a female gender. Ivana pointed out it would be interesting to look at the long term impact on children as they interact with gendered technology.

In conclusion, the group discussed some open questions of anthropomorphisation of AI in robotics, especially assuming female gender. Is it currently done in a socially responsible and ethical way, and is it how we want to move forward? The challenge for robotics designers is to understand how gender becomes embodied in robots through a series of design decisions, and how to create digital personalities with gender in a socially responsible way.

Women in AI Ethics Advisory Expert Group

In March 2021 Women in AI (WAI) formed its Ethics Advisory Expert Group, consisting of 16 expert representatives of local WAI branches, France, Germany, Ireland, Netherlands, Sweden, Italy, Austria, US, Australia and India, chaired by Emoke Peter.

The group’s mission is to educate each WAI country branch about the current most important ethical issues approached from the perspective of law and legislation, policy, philosophy, and technical practice.

Throughout 2021, WAI Ethical Advisory Expert Group meets some of the most prominent Ethics Advisors on AI on a monthly basis to learn from and help shape the discussion of ethics in AI.

Women in AI is a non-profit organisation and the first global community of women in Artificial Intelligence with over 5,500 members in 100+ countries. We aim at shaping gender-inclusive AI that benefits global society by increasing female representation and participation in AI. Our global platform empowers female AI visionaries and practitioners by providing access to educational resources, networking opportunities, and hands-on support, while accelerating a community of global pioneers in the field of Artificial Intelligence.

Visit us: www.womeninai.co

Starting up a business in an unconventional, flexible, and motivational working environment may sound like the perfect idea for women to flourish from both a professional and personal point of view, however, reality is different in facts and figures.

WaiTALK summary written by Paola Vercesi, Iva Simon Bubalo, and Catherine Lalane

Earlier this year, a Silicon Valley Bank research found that there is a founder gap when it comes to women: only one tech startup in four in the US is owned by a woman, only 53 percent of them have a woman in executive positions and even less, 37 percent let a woman sit on the Board.

The same research highlights how only 36 percent of startups with a female founder rely on VC funding, versus 42 percent of startups with no female founder. On the contrary, startups with a female founder count more on organic growth, support from friends and family, crowdfunding and government grants as compared to startups with no female founder.

To bridge this founder gap and guide women who are considering a career development as startup founders, Women in AI Ireland gathered a panel of experts who framed the risk and reward picture of female entrepreneurship in the technology industry.

WaiTALK Path to Entrepreneurship

Concluding our WaiTALK 2020 journey in Ireland, “Path to Entrepreneurship” WaiTALK was held online on the 12th November 2020 in partnership with IBM, and sponsored by Insight Centre for Data Analytics.

Alessandra Sala, Ambassador of Women in AI Ireland and the Director of Data Science & AI at Shutterstock hosted the event together with moderator Swathi Ishwarya Vijayasekaran, Data Scientist at CarTrawler.

“Path to Entrepreneurship” brought together Women in AI and the leading and successful Irish tech entrepreneurs Patricia Scanlon and Ger O’Keeffe who shared their entrepreneurial success stories along with some insights into how they approached major challenges on that journey.

Albeit a new technology in a commercial setting, not everything in AI startups is done from scratch. AI platform support is out there to accelerate that process. Angela Bates, IBM Startup & Developer Programme Lead presented the “Startup with IBM” and “Call for Code” programs aimed at developing tech-entrepreneurial talent in the community. Next to implementing AI into their products, executives can also use AI to augment their own decision-making. Yufang Hou, IBM AI Research Staff member, presented IBMs next milestone, Project Debater, AI system able to debate world-class human debaters.

With the support of IBM Ireland’s CTO & Chief Technical Architect Ronan Dalton and our renowned speakers, Women in AI Ireland have successfully initiated an entrepreneurial discourse in our Irish AI community and opened doors to current and future female entrepreneurs with leading examples of the Irish tech startup scene.

Taking a leap

Patricia Scanlon started out her career as an engineer and with a vision she had since childhood to become an inventor. She was driven by the idea of how engineering and tangible research in speech recognition can touch human lives. After her PhD, Patricia had the opportunity to see the differences between academia and business working at IBM and Nokia Bell Labs. What initially prompted her to start thinking about entrepreneurship was that within large organisations the research decisions are often made on a much higher level, so she felt the drive to take the lead and make those kinds of decisions on her own. All her previous experience with big and small companies and multinationals she used to understand where they fail and why they are slow to move, in order to use those examples to compete.

“Taking the leap into entrepreneurship was the biggest leap I’ve ever done. When making a decision you often don’t understand what it really means until you do it.”

Space to innovate: “Adult voice tech won’t work for kids”

Patricia found a spot for innovation in speech recognition by looking at how her daughter was interacting with digital apps. She founded SoapBox Labs 7 years ago to focus on speech recognition for reading, language learning, toys and robots, for 2–12 year old kids. Patricia anticipated how data privacy is going to be important even before it became a hot topic in technology. On investment into data privacy Patricia says:

“It certainly wasn’t cheaper, and it wasn’t quicker to do it that way, but I knew if we were going to do this we had to do it right.”

The power to unlock innovation: Corporate and Startups Collaboration

On this WaiTALK, IBM Developer Programme lead Angela Bates considered the perspective of a collaboration between startups and the corporate world, based on her ten years’ experience leading IBM Business Partnership Programs. According to Angela, in fact the entrepreneurial spirit behind startups is a driver of innovation for the corporate environment.

What an amazing time to be a technologist!

The reach of the business of technology is becoming increasingly broader thanks to the widespread use of the Internet, the cloud and open-source software. With their command of technology, not only developers and data scientists have the potential to become successful entrepreneurs in the current business environment, but they can be the driving force in changing the world for the better. This is why IBM supports technologists through various tech-for-good programs.

Angela Bates introduced us to “Call for Code”, an annual competition that attracted over 400,000 developers so far and it aims at finding inspiring ideas that make technology work to counteract climate change and natural disasters. Each year the winners of the competition get the support they require from IBM to make their dream of changing the world come true, by developing technological solutions that help those affected by calamities.

Angela also highlighted the type of support IBM can offer to entrepreneurs through “Startup with IBM”. This is a Program aimed at both empowering business owners to build their solutions with technology free credits, and at developing tech-entrepreneurial talents in the community through the IBM Developer educational platform.

Finally, new tech-entrepreneurs can find the perfect partner in IBM to present their solutions in front of a business network of over 25 million potential customers, who participate in the IBM Provider Workbench and IBM Marketplace platforms.

Project Debater to augment executive decision-making

Known for its history of pushing the boundaries in artificial intelligence, in 2019, IBM presented their new milestone called Project Debater. Project Debater was the first computer to successfully live-debate champion human debaters in an Oxford style debate.

Yufang Hou, Research scientist at IBM, described to the Women in AI audience how a research project becomes a product. Project Debater augments executives’ decision-making in a way that it serves as a channel between a decision-maker and those impacted by the decision. Project Debater is able to generate a pro and con sides out of all the arguments that are passed to it. The documentary on this technological marvel is available on YouTube (watch).

Market knowledge, Innovative product, and a strong Co-founders Team

Ger O’Keefe’s startup Allwayswithyou is addressing the needs of family members and their older adults. Enabled by sensors and wearables, AI models predict the wellness of older adults, and monitor their wellbeing. AI models also recognise the abnormalities and if the health conditions of an older adult are declining the app automatically sends an alert to the family. Allwaywithyou also allows for content exchange between family members, photos, videos, and video calls, in an efficient way that ensures easy access.

Ger shared with us critical few steps on any path to entrepreneurship, starting with establishing a market perspective with a problem statement. Market perspective, as Ger explains, doesn’t develop overnight, it accumulates with time and around industry people. Knowing the market allows you to identify gaps, find co-founders with the right skill sets, and come up with potential novel solutions. That’s where it takes time, and after one has identified a sweet spot, the minimum viable product has to be pushed out quickly with a focus on UX/UI. His strong recommendation is:

“Do not dwell on go-to-market strategy, test your product on the market first”.

Ger also gave us advice on how entrepreneurs should plan for failure and always have a plan B. Failures are inevitable, however, through valuable business partnerships and startup programs entrepreneurs can reduce potential risks and be better prepared to tackle those risks.

Women in AI is the first global community of women in Artificial Intelligence with over 3,000 members in 90 countries. We aim at shaping gender-inclusive AI that benefits global society by increasing female representation and participation in AI. Our global platform empowers female AI-visionaries and practitioners by providing access to educational resources, networking opportunities, and hands-on support, while accelerating a community of global pioneers in the field of Artificial Intelligence.

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Can’t decide on which chocolate bar to eat? Tempted to try every chocolate bar like there is no tomorrow? Well, today is your lucky day! We’ll help you with making that very important decision. But first —

Happy World Chocolate Day!!

Commemorated on 7th of July, World Chocolate Day is about celebrating self-indulgence and learning more about the cacao beans that go into making the best chocolate bars around the world. Let us help you make that choice!

World Chocolate Day is said to celebrate the introduction of chocolate in Europe in 1550. Once cacao beans made their way over to Europe they were still used as a drink flavored with sugar and cinnamon.

The very first solid chocolate bar, known as “Dutch cocoa” was created in 1847 in Britain by Joseph Fry. This magical treat came into existence by pressing a mixture of melted cacao butter and sugar into a solid shape.

Are you too confused about cacao and cocoa?

The word ‘cocoa’ is adapted from the word ‘cacao’. Cacao beans refer to those which are not roasted or raw beans while cocoa beans are processed or roasted ones.

It wasn’t until 1875 that the world was introduced to the milk chocolate bar by a Swiss chocolatier called Daniel Peter who invented milk chocolate by mixing powdered milk developed by Henri Nestlé with the liquor.This partnership became the basis of the Nestlé Company.

So are you ready for some serious chocolaty bar-charts and box-plots?

About the Dataset

Chocolate Bar Ratings

Chocolate Bar Ratings dataset from Kaggle contains expert ratings of chocolate conducted between 2006 and 2017, with more than 1700 individual chocolate bars, along with information on their regional origin, the percentage of cocoa contained in each bar, and the variety of chocolate beans used during the production of each bar. 416 companies from 60 different countries in the world participated in this chocolate rating study.

A Sneak-peek into Chocolate Bar Ratings

Are you wondering which country to visit for some amazing chocolate bar? Well, worry not. Here are the top Chocolate Producing Countries in the World:

The following rating represents an experience with a single bar:

• 5.0 = Elite (Transcending beyond the ordinary limits)
• 4.0 = Premium (Superior flavor development, character and style)
• 3.0 = Satisfactory(3.0) to praiseworthy(3.75) (well made with special qualities)
• 2.0 = Disappointing (Passable but contains at least one significant flaw)
• 1.0 = Unpleasant (mostly unpalatable)

The quality of flavor, texture, and aftermelt is influenced by bean type and origin, cocoa percentage, and the secret craft of the producers. So what’s the average rating of chocolate in different countries and companies?

Imagine the view on the left with the Chocolates on the right…

Now, you’re one step ahead for your next world travel plan. Thank us later!

So, since you already know which countries to choose from, you should also know which company to choose from. Here is a bar-chart for your perusal.

Cocoa Percentage in Chocolate Bars

The median cocoa percentage chocolate producers go for is 70%, with the majority of chocolate bars in this study falling in the range of 65% and 82%. The correlation between cocoa percentage and rating shows as negative of -0.16. In other words, the higher the cocoa percentage the lower the rating, and vice versa.

The average cocoa percentage over the years has been seeing highs and lows. Interestingly, the year 2008 had the highest average cocoa percentage and at the same time the lowest average rating recorded. Over the years, however, the average rating has seen an increasing trend.

Looking at the distribution of cocoa percentage and the accompanied rating, we can see that the rating in the range from 4.0 to 5.0 is missing. We can also see that the chocolates made of +90% of cocoa do not reach the rating above 3.5 from the experts’ point of view.

The Bean Type Case-Study

The most popular cacao bean types are Trinitario, Criollo, Forastero which makes up almost 50% of our dataset. Almost 23.5% of the chocolate bars in our data is Trinitario, 10.8% is Forastero and 9.5% is Criollo. A blend of either of the three makes up 5.4 % , which is also highly appreciated.

While Forastero looks to be the most used cacao bean, the best median rating belongs to the blended ones. Trinitario and the blended version of either of these even has full points, that is, a whopping 5 star rating!

Six out top ten countries where you can get Trinitario cacao based chocolate bars are in Europe.; Scotland, Belgium and Swiss Chocolate Bars are the best rated Trinitario chocolate bars who made it the top five. Singapore is highest rated country to produce quality chocolate bars using Trinitario cacao.

Let’s remind you of the awesome Singapore skyline!

The blends are best made in Italy, followed by Belgium and Canada. There are only 11 countries in our data that use a blend of either of these three cacao beans and eight out of these are European countries. So if you in Europe, it’s time to backpack to Italy, Belgium and Switzerland and explore the best chocolate with a majestic view like this! Yummmm!

Let’s go to Ireland!

Well as three data professionals residing in Ireland, we are a little interested in the statistics in here.

In this study Ireland participated in 2013 with one chocolate producer, namely Wilike’s Organic. Wilkie’s Organic chocolate that entered the rating was made of Criollo chocolate beans with origins from Peru, with 75% and 89% of cocoa. The highest rating of Wilkie’s organic was 3.25 for Tumbes specific origin (which qualifies for satisfactory category) and 75% cocoa, where Amazonas made of 89% cocoa with a rating of 2.75.

Which one is “The One”?

So you must be asking by now which one is the one you absolutely need to try, THE best one!

Good news, it’s two of them that actually share the first place! So we get to try more chocolate! Italian Amedei Toscano Black of Trinitario bean type, and same producer, Amedei Chuao blended type are the two 5-star chocolates of this study, both made of 70% cocoa!

Remember, 9 out of 10 people say they love chocolate. So don’t try to make everyone happy, there will always be that 1 person around who doesn’t like chocolate.

Contributors

Nabanita Roy is a Data Scientist at Fiserv based in Nenagh, Ireland. She is currently leading Women in AI Ireland’s AI & Data group projects. She also a freelance blogger on Medium. You can follow her here.

Iva Simon Bubalo is a Data Reporting Analyst at Accenture Dublin. Iva holds a Master’s degree in Philosophy and Language studies from 2018, and an HDip in Science in Data Analytics from National College of Ireland from 2019.

Luciana Azubuike recently completed a MSc in Artificial Intelligence and graduated from Cork Institute of Technology in 2020. Luciana is an IT Support Developer at Clearstream, working on the automation of enhanced user experience.

GitHub Link to the Notebook

women-in-ai-ireland/WaiLearn-DataVisualization

Women in AI (WAI) is a nonprofit org on a mission to increase female representation and participation in AI. First global community of women in AI with 90+ countries and 28 ambassadors, WAI is working to embrace diversity, empower, inspire and educate next generations.

Find out more about the Irish Chapter of Women in AI on Linkedin.

With the support of The Analytics Institute of Ireland and in collaboration with global law firm DLA Piper, this Wednesday 22nd January, Women in AI Ireland organised “Ethically driven AI design” event in Dublin.

“Ethically driven AI design” event took place in Tangent, Trinity’s Ideas workspace, with more than 70 attendees actively engaging to discuss various ethical dilemmas and AI’s impact on the society. The interactive format of this event characteristic to humanities and social sciences created an enabling environment for ideas and different standpoints to thrive: keynote speech followed by moderated table discussions covering 6 major topics currently being discussed in the field of ethics in AI: Healthcare and AI ethics, Self-driving cars, AI in advertisement and recommendation systems, Future of work and HR management, Economic wealth distribution and access to financial services, and Privacy and regulation of facial recognition technology.

Irish Women in AI ambassador Alessandra Sala and Laura Kennedy welcomed the audience and described the importance of technology and social sciences fields coming together.

“AI is an enourmous opportunity for STE(A)M to thrive. Now more than ever we need people of all backgrounds, especially women and minorities to enter the field of artificial intelligence.”

Current thinking in ethics in AI and law

Introduced by Gareth Stokes, our keynote speaker Treena-Dunlea Peatross, Legal Director on DLA Piper Ireland’s Intellectual Property and Technology team, gave a high level overview of the current thinking in ethical considerations for the design of AI from a lawyer’s perspective, drawing on the views expressed by various regulators and practitioners across the globe.

With impactful opening, Treena-Dunlea invited the audience to think critically. AI technology is new but the society has already encountered many of those problems throughout history, and especially women’s history.

“Think about robot rights and ownership. Not so long ago the society was deciding on women’s rights. The same questions about property, authorship and rights the society was asking about women.”

To tackle the societal problems rising with AI, Treena highlighted the importance of ensuring that there is diversity of thought when designing and developing AI technologies. That’s the new and necessary approach. She touched on aspects of the current law in Ireland, the UK and the US and how they could apply to AI technologies, highlighting ethical issues for consideration along the way such as maker’s accountability and the impact on the minorities.

“Without diversity of thought and ideas, we risk building in bias into AI”.

Treena-Dunlea explained the difference of having and not having a regulation such as GDPR, and how developing technology impacts the user without such regulation in place. She then introduced various initiatives being taken at the global and national level to establish ethical frameworks for the development of AI technologies.

The good news is that AI technology is making us think globally — currently there is a big global focus on longterm sustainability and fairness in the use of emerging technologies.

Ethics in AI workshop bringing all minds together

Treena-Dunlea’s speech raised important questions and ethics dilemmas that engaged the audience in reflective thinking and reasoning which they were about to practice in a group setting. The ethics workshop consisted of table discussions with designated topics, a moderator skilled in design thinking provided by DLA Piper and up to 10 participants from the audience.

Together with DLA Piper moderators the audience engaged in dynamic discussions on ethical considerations and the impact of AI on our the society from different angles:

• Healthcare and AI ethics with Conor McEneaney discussed embracing a wholly AI diagnostic system. It was important for all participants that there was some human involvement throughout, and the extent of this involvement has been widely discussed. Some members of the table foresaw the change in the role of a physician as becoming more of a communicator and the liaison between the technology and the particular patient. Some members brought up and idea of a new profession, that of a data nurse — someone with responsibility for administering the AI tools to a patient and interpreting these results with a doctor being consulted in extreme or unusual circumstances.

• Self-driving cars group discussed the trolley problem with Edel O’Kelly. The group recognised the public sensitivity towards the number of car accidents involving self-driving cars and human-driving cars, even though autonomous cars could save more lives on the road compared to human-driving cars.
• Mark Rasdale discussed Advertisement, Recommendation systems and Awareness. Interestingly, this group happened to form a random expert group with data scientists, machine learning engineers, philosophers and lawyers. They discussed the ethics dilemma of recommendation systems and feed algorithms forming a so-called“filter bubble” of the information a user is exposed to that is limited to their own interests and the interest of their narrow and similar network.
• Future of work and HR management with moderator Alice Duffy discussed the automation of tasks and full human roles. The participants pointed out that even some of their own roles in cybersecurity and data did not exist until short time ago. Inputting data in a ai system based on our digital personality or profile can be an inaccurate reflection of work capabilities. The group’s perception was that AI can achieve a more objective and unbiased outcome than human assessment of employee performance, rewards and recognition, and company KPIs.

• Eileen Johnston considered Economic Wealth Distribution and access to financial services and emphasised the potential of concentrating AI technology to specific organisations with unlimited workforce thus widening the economic gap. The group discussed the credit scoring system of China assigning people a financial score based on their good behaviour and pointed out that Western society is looking at the economy and rising ethical dilemmas through Western lenses.

• Eilis McDonald and Cez Bicki focused their group discussion on Facial Recognition technology (FRT): privacy and regulation. The group generally felt more comfortable with authorities using FRT and biometric data collection rather than companies who would mainly use it for marketing purposes. There was a consensus that obtaining consent for using FRT is a big challenge and that such consent might not always be informed.

The event concluded with a readout session from each table where the audience with moderators’ support had the opportunity to express their viewpoints, ethical concerns and valuable ideas on the design of AI systems, as well as learn the viewpoints of others. Alessandra Sala encouraged women to think big and speak up, calling women to enter, explore and contribute to AI ecosystem in Ireland with Women in AI.

Women in AI is the first global community of women in Artificial Intelligence with over 3,000 members in 90 countries. We aim at shaping gender-inclusive AI that benefits global society by increasing female representation and participation in AI. Our global platform empowers female AI-visionaries and practitioners by providing access to educational resources, networking opportunities, and hands-on support, while accelerating a community of global pioneers in the field of Artificial Intelligence.

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Our first WaiTALK gathered participants from both technology and academia around the idea of examining the status-quo on the current female participation in AI and re-thinking how to shape the future.

Increasing demand and short supply of AI skills bring more opportunities than ever before for women to step into AI careers.

Alessandra Sala welcomed us and introduced Women in AI as a global community with 90+ countries and 28 ambassadors bringing empowerment, education and active collaboration in the interdisciplinary AI field for women of all backgrounds who aspire to join AI industry.

Three inspiring and insightful talks followed, embracing diversity and forming an inclusive environment of reflection:

Andrea Fouche from Deloitte introduced the topic of transformation and change management with “Future of Work at Deloitte”.

Ann O’Dea, CEO of Silicon Republic and founder of InspirefestHQ, gave an exciting and insightful talk “It takes a village: AI needs all of us”.

Medb Corcoran, Director of Accenture Labs, presented a big picture of “How careers in AI and Analytics can have a positive impact on society”.

Interested in what comes up next?

Women in AI are bringing together diverse perspectives of technology and social sciences for an interactive discussion on “Ethically driven AI design”. In collaboration with DLA Piper our next event will take place in January 22nd in Tangent Main Space, 1st Floor Trinity Business School in Dublin.

Innovative event design fostering diversity of backgrounds and perspectives from STEM to social sciences

AI is the opportunity for our society to close the gap between STEM and Arts.

“Ethically driven AI design” event will start with a panel discussion from experts in Law and Ethics from DLA Piper followed by moderated table discussions. The event will conclude with a showcase of ideas from each table.

Meet AI experts and enthusiasts in Dublin and contribute to the discussion on Ethically driven AI design with your own unique point of view. Save the date and join us on January 22nd at 5pm in Tangent Ideas Workspace of Trinity Business School in Dublin!

_____________________

WAI is the first global community of women in AI, embracing diversity and forming an inclusive environment for next generations of women in AI industry and academia. Follow Women in AI and become a member of global AI community on our website www.womeninai.co.

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