What we’re about
The first and biggest community of Data Scientists and AI experts in The Hague. We host industry presentations, workshops, hackathons, and open innovation programs. All focused on AI and its effects on business and everyday life.
The meetup group is organized by AI Lab One.
Upcoming events (1)
See all- Pie & AI: AI and SocietyThe Hague University of Applied Sciences, Den Haag, ZH
IMPORTANT: PLEASE REGISTER FOR THE EVENT AT
**https://meetup-october5.kickstartai-events.org**
Signing up on Meetup does NOT guarantee a spot, and seats are limited, so get your free tickets soon! Also if you sign up, please make sure you attend, as we will be reserving a seat and food for you! Please also indicate your dietary preferences when you sign up.
Welcome to another special edition of Pie & AI: The Hague - 'AI and Society: Navigating the Nexus of Ethics, Law, and Artificial Intelligence'. This event is proudly sponsored by the Applied Data Science department at The Hague University of Applied Sciences and Kickstart AI.
Agenda:
5:00pm-6:00pm: Doors open + pie and refreshments
6:00pm-6:10pm: Introduction
6:10pm-6:50pm: First speaker + Q&A
7:00pm-7:40pm: Second speaker + Q&A
7:40pm-10:00pm: Mingle with your fellow deep learners!
Speaker 1: Kanan Dhru
https://www.linkedin.com/in/kanandhru/
Bio: Kanan Dhru has been developing and researching innovative solutions in the legal space for more than a decade. She has argued cases for clients as a practicing lawyer, started and headed a think-tank on legal and political reforms, developed a pioneering comic book series for children that simplifies laws, consulted elected representatives on drafting of laws and most recently, led a community of stakeholders working towards legal innovation worldwide.
She is interested in problem-solving along with being optimistic about the power of technology and creative thinking, and cherishes opportunities to interact on the potential of law to be futuristic and innovative. Kanan believes strongly that communities and collaboration can make systemic change possible!
Topic: The Legal (and Ethical) Dimensions of AI
As the AI technology progresses rapidly, lawmakers world over scramble to keep pace with it. Maintaining the right balance between encouraging innovation and protecting the rights and dignity of human-kind becomes critical than ever before. Where should the legal boundaries be drawn? And what should they look like? What happens in cases where there is no clear right or wrong? The session will give a broad overview of how different countries are trying to legislate the use of AI technologies. We will then put forward for discussion different examples of critical ethical dilemmas that the new developments bring to forefront.
Speaker 2: Dr. Natasha Govender-Ropert
https://www.linkedin.com/in/natasha-govender/
Bio: Natasha Govender-Ropert is the Data Science Lead in the Financial Crime Department at ING Global Analytics which implements advanced analytics and machine learning in the detection and prevention of various types of financial crime. During her career, she was the Head of Data Science at DotModus (Google Cloud scale up), the Head of the Centre of Excellence for Robotics, and previously spent many years working as a data scientist and software engineer.
She holds a PhD in Computer Science specializing in machine learning from the University of Cape town in South Africa (one of the first females of colour in South Africa to accomplish this feat). Natasha is passionate about STEM education especially for females and disadvantaged communities having herself grown up during Apartheid in South Africa. She has led and participated in several national and international outreach initiatives and now currently serves as the Education Lead at the NGO Women in AI.
Natasha loves to read, especially murder mystery novels, and to run (she is currently training for the Amsterdam first half marathon).
Topic: Where Did All the Women Go? Unmasking the Data Gap
In our increasingly data-driven world, access to accurate and representative data is crucial for informed decision-making. However, a significant gap exists when it comes to data about women. This talk aims to shed light on the current situation of missing data for women, exploring the consequences and implications of this data gap across various domains. We will delve into the reasons behind the data disparity, including historical biases, systemic challenges, and underrepresentation. Through compelling examples and insights, we will examine how the absence of women's data perpetuates gender inequalities and hinders progress in all areas of our lives.
This talk will also touch upon on strategies and initiatives aimed at addressing the data gap and promoting inclusivity.
