Events

Tue 12/07/21 6:00 - 7:00pm Virtual

Co-Opting AI: Advertising

NYU’s Institute for Public Knowledge, the NYU Center for Responsible AI, the 370 Jay Project, and the NYU Tandon Department of Technology, Culture and Society invite you to a new discussion in the series “Co-Opting AI.” This event will discuss the socio-cultural history of advertising vis-a-vis automated targeting, big tech, and AI, and the amplification of social and racial inequalities.

The CROSS Symposium

This remote event will provide an opportunity to learn about the research being done by CROSS fellows and affiliated faculty, interact with CROSS and other UC Santa Cruz faculty, graduate students, and affiliated researchers, and discuss future directions and collaborative research projects at UC Santa Cruz. Each day will include a plenary session, keynotes, and continue with topic-specific workshops.

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CIRSS Seminar – RDS+AI Speaker Series: Teaching Responsible Data Science

Although an increasing number of ethical data science and AI courses is available, pedagogical approaches used in these courses rely primarily on texts rather than on algorithmic development or data analysis. Technical students often consider these courses unimportant and a distraction from the “real” material. To develop instructional materials and methodologies that are thoughtful and engaging, we must strive for balance: between texts and coding, between critique and solution, and between cutting-edge research and practical applicability. In this talk, I will discuss responsible data science courses that I have been developing and teaching to technical students at New York University since 2019. I will also speak about a public education course called "We are AI" that is offered in a peer-learning setting. I will draw on these efforts to chart a path towards strengthening the distributed accountability structures, to make the design, development, use, and oversight of automated decision systems responsible.

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The 20th International Semantic Web Conference

he premier international forum for the Semantic Web and Knowledge Graph Community Virtual Conference 24 - 28 October 2021

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Co-Opting AI: Reproduction

NYU’s Institute for Public Knowledge, the NYU Center for Responsible AI, the 370 Jay Project, and the NYU Tandon Department of Technology, Culture and Society invite you to a discussion on religion in the series “Co-Opting AI.” This event will explore how AI technologies have changed the narratives and rationalities that underpin assisted reproduction, from early feminist initiatives to the commercialization of pregnancy, as well as the tactics used in scientific research on human reproduction. It will consider how these dynamics map onto racial disparities and wider inequalities in public health and beyond.

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Co-Opting AI: Religion

NYU’s Institute for Public Knowledge, the NYU Center for Responsible AI, the 370 Jay Project, and the NYU Tandon Department of Technology, Culture and Society invite you to a discussion on religion in the series “Co-Opting AI.” This event will discuss the various and manifold relationships between AI and religion, ranging from religious and techno-political imaginations of the future and how we should live, to questions around agency, identity, and power.

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A Better Tech – 2021 NYU Public Interest Technology (PIT) Convention and Career Fair Oct 14-15

The 2021 NYU Public Interest Technology (PIT) Convention and Career Fair is a virtual hands-on event for professionals, researchers and students interested in creating a better world through technology. It is the first convening of its kind in the US, bringing together the country’s most talented students and leading researchers with organizations and companies that are at the forefront of creating responsible and accountable tech that serves the public interest. Through hands-on workshops, dialogues, keynotes, ideas presentations, a hackathon, and a virtual career fair, participants will share the latest developments in the PIT field, learn about careers in PIT, and connect with professionals working in this area across lots of different sectors and industries.

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A Better Tech – 2021 NYU Public Interest Technology (PIT) Convention and Career Fair Oct 14-15

The 2021 NYU Public Interest Technology (PIT) Convention and Career Fair is a virtual hands-on event for professionals, researchers and students interested in creating a better world through technology. It is the first convening of its kind in the US, bringing together the country’s most talented students and leading researchers with organizations and companies that are at the forefront of creating responsible and accountable tech that serves the public interest. Through hands-on workshops, dialogues, keynotes, ideas presentations, a hackathon, and a virtual career fair, participants will share the latest developments in the PIT field, learn about careers in PIT, and connect with professionals working in this area across lots of different sectors and industries.

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Co-Opting AI: Space

NYU’s Institute for Public Knowledge, the NYU Center for Responsible AI, the 370 Jay Project, and the NYU Tandon Department of Technology, Culture and Society invite you to a discussion on games in the series “Co-Opting AI.” This event will examine how imaginaries of space and space exploration are entangled with technological innovation, and AI in particular. The discussion will also consider the social, political and economic impacts of that entanglement.

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From Day One Conference – New Ideas and Tactics for Successful Diversity Recruiting

Many employers have renewed their commitment to diversity, but what are the best ways of recruiting the diverse workforce of tomorrow? How can companies improve their early-talent pipelines, including internships and campus recruiting? How can they use digital tools to spot talent in the marketplace as well as finding candidates for advancement in their own workforces? What are the best ways of removing bias from the process, including the algorithms? And how can employers make themselves more attractive to diverse candidates?

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Unfinished Live

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The Real Implications of Artificial Intelligence: How AI Technology Affects Hiring

As more and more employers adopt new recruiting and interviewing technologies powered by artificial intelligence (AI), longstanding hiring practices are shifting across industries—sometimes for the better, sometimes not. In this panel, we'll explore the AI hiring technologies in use today, dissect how their rising popularity affects NYC job seekers, and evaluate the implications for diversity, equity, and inclusion (DEI) efforts across sectors.

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Global Perspectives on AI Ethics: Panel #5

On Tuesday, June 22nd, at 11:00 AM EDT, three AI experts will join us for the fifth installment of Global Perspectives on AI Ethics. About this event How are the world's 1.3 billion persons with disabilities at risk because of the growing use of AI-powered human resources technologies? What measures can be implemented to open up black-box technologies and allow governments to exercise transparency to constituents on their use of AI? What are some risks associated with the increased use of AI, in particular ethical questions pertaining to bias and data input?

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AI & Society Roundtable

A collective intelligence exercise towards shaping the research questions of Social AI, driven by societal challenges. It is implemented through a structured conversation among inter-disciplinary scientists, looking at the relationship between AI and society from multiple perspectives. For human-AI scientists and social scientists, the challenge is how to achieve better understanding of how AI technologies could support or affect emerging social challenges, and how to design human-centered AI ecosystems that help mitigate harms and foster beneficial outcomes oriented at the social good.

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Demystify AI: Comics as a vehicle for Public Education

How comics are a vehicle for Public Education during @rightscon

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What exactly is ‘responsible AI’ in principle and in practice?

On May 10, the Center for Technology Innovation at Brookings will host a webinar to unpack what is meant by “responsible AI” and how different sectors are building corollary frameworks to increase the technology’s accountability. Panelists will also discuss the roles of self-regulation, public policies, and consumer feedback.

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Global Perspectives on AI Ethics

On Tuesday, May 11th from 8-9 AM EST, four AI experts will join us for the fourth installment of Global Perspectives on AI Ethics.

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POST-PANDEMIC PUBLIC SPACES

COVID-19 and the many measures to control its spread have fundamentally changed the way urban residents think of their cities and public spaces. Streets and squares once designated for cars now belong to pedestrians and restaurants; access to nature, open spaces and sports and leisure facilities has emerged as a vital need. Meanwhile digital interaction and socialization has rapidly accelerated, fueled by video calls, gaming, streaming and e-commerce. The pandemic has highlighted the importance of our local environment and accelerated emerging trends towards a healthier, more inclusive and active city, essential to inhabitants’ physical and psychological well-being.

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Webcast// Reimagining Risk: A Conversation about Risk Assessments, Technology Design and Inequality.

Join policy makers, Ai scholars, and civil rights leaders for a candid dialogue about how predictive algorithms, risk models, and automated eligibility systems challenge our social safenety, criminalizes the poor, and intensifies discrimination. Panelists will explore potential opportunities for improvement and reform and suggest ways that policy makers can work collaboratively with private industry to center equity as a distinguishing feature of American innovation.

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BUILDING DATA EQUITY SYSTEMS

Join RI-AI Meetup and Julia Stoyanovich, Director of the Center for Responsible AI at New York University as she discusses the technical work behind the "Data, Responsibly" project and presents a vision for designing, developing, deploying, and overseeing data-intensive systems that consider equity as an essential requirement.

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Co-Opting AI: Music

NYU’s Institute for Public Knowledge, the NYU Center for Responsible AI, and the 370 Jay Project invite you to a discussion on games in the series “Co-Opting AI.” This event will examine how music is entangled with technological innovation, and AI in particular, and how this is linked to the making and re-making of societal structures.

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“From Code to Congress: What technologists should know to participate in defining AI regulation”

Regulating technology is often seen as a double-edge sword. Thoughtful and effective regulation can help improve safety and reliability, and build public trust. But rigid or premature regulation will slow progress. How can we make AI regulation work? Join this panel to take part in the conversation!

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https://nyu.zoom.us/webinar/register/WN_7migLlGfRHiLAwo5lW_hAA

AI Here and There: Transatlantic Dialogues on Artificial Intelligence, Society and Innovation In the past decade Artificial Intelligence (AI) has quietly and quickly become prominent in our daily lives, whether we have realized it or not. AI has made itself indispensable: in our private lives, in the workplace, in sports, and even art. However there are only a select few that know what AI really is about and what this means for us as a society. This four part event series aims at introducing the subject of AI to a broad audience. Each event will be focused on different subjects. Since this is a global topic, we took this opportunity in stride to invite panelists both locally and internationally from Switzerland and the US. The series is organized by the Consulate General of Switzerland in New York and the Center for Responsible AI | NYU Tandon School of Engineering, and hosted by Mona Sloane.

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Privacy, Ethics & Trust in Connected Healthcare

Addressing Privacy and Ethics requirements in connected healthcare and IoT systems design and development is vital to develop trust in using IoT based systems in the healthcare domain. IoT based connected healthcare systems require an appreciation of both the ethico-legal milieu and the sociopolitical landscape.

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https://nyu.zoom.us/webinar/register/WN_7migLlGfRHiLAwo5lW_hAA

AI Here and There: Transatlantic Dialogues on Artificial Intelligence, Society and Innovation. In the past decade Artificial Intelligence (AI) has quietly and quickly become prominent in our daily lives, whether we have realized it or not. AI has made itself indispensable: in our private lives, in the workplace, in sports, and even art. However there are only a select few that know what AI really is about and what this means for us as a society. This four part event series aims at introducing the subject of AI to a broad audience. Each event will be focused on different subjects. Since this is a global topic, we took this opportunity in stride to invite panelists both locally and internationally from Switzerland and the US.

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https://nyu.zoom.us/webinar/register/WN_7migLlGfRHiLAwo5lW_hAA

AI Here and There: Transatlantic Dialogues on Artificial Intelligence, Society and Innovation. In the past decade Artificial Intelligence (AI) has quietly and quickly become prominent in our daily lives, whether we have realized it or not. AI has made itself indispensable: in our private lives, in the workplace, in sports, and even art. However there are only a select few that know what AI really is about and what this means for us as a society. This four part event series aims at introducing the subject of AI to a broad audience. Each event will be focused on different subjects. Since this is a global topic, we took this opportunity in stride to invite panelists both locally and internationally from Switzerland and the US.

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Co-Opting AI: Ideology

NYU’s Institute for Public Knowledge, the NYU Center for Responsible AI, and the 370 Jay Project invite you to a discussion on games in the series “Co-Opting AI.” Quests for innovation, particularly technological innovation, seem to always be closely tied to different systems of ideas and ideals. Artificial intelligence in particular is bound up in narratives and theories of progress, prosperity, and the superiority of the human race. Many of these ideologies influence public policy and even geopolitical relations. The “Co-Opting AI: Ideology” event sets out to examine how these ideals fuel the rise of AI, how they are bound up in histories of rule making, counting, and bureaucracy, how they are built on Western ontologies and perpetuate Western power structures.

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Global Perspectives on AI Ethics: Panel #3

A panel discussion with faculty from the free, online course AI Ethics: Global Perspectives.

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AI for Good: Designing an Equitable Future

Artificial intelligence (AI) can solve the world’s biggest challenges, but without thoughtful design, automated decision-making systems can pose risks and perpetuate injustices. When organizations adopt new technologies without regard to the wider social, economic, cultural, and political contexts, they can endanger privacy and security and exacerbate existing inequities in ways that are difficult to reverse.

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Event 1: Tracing Artificial Intelligence in Our Everyday Lives

In the past decade Artificial Intelligence (AI) has quietly and quickly become prominent in our daily lives, whether we have realized it or not. AI has made itself indispensable: in our private lives, in the workplace, in sports, and even art. However there are only a select few that know what AI really is about and what this means for us as a society. This four part event series aims at introducing the subject of AI to a broad audience. Each event will be focused on different subjects. Since this is a global topic, we took this opportunity in stride to invite panelists both locally and internationally from Switzerland and the US.

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Global Perspectives on AI Ethics: Panel #2

What is indigenous data sovereignty, and how does it apply to artificial intelligence? Why do we need to reform education systems to successfully confront the risks and opportunities associated with development of AI? Can the use of consumer data harm consumer welfare?

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Co-Opting AI: Intimacy

NYU’s Institute for Public Knowledge, the NYU Center for Responsible AI, and the 370 Jay Project invite you to a discussion on games in the series “Co-Opting AI.” This event will focus on how our intimate lives are mediated by technology, and artificial intelligence specifically, and vice versa. Featuring Gabriella Garcia, Hannah Zeavin, and Mona Sloane, the discussion will explore the themes of agency, care, connectedness, sexuality, (non-)humanness, and inequity.

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What solutions to data bias in machine learning algorithms?

While artificial intelligence is more and more used, many AI incidents report data processing biases or discrimination. Good In Tech organizes a research webinar to discuss the biases of artificial intelligence. What solutions to data bias in machine learning algorithms? With Stephan Clemençon (Telecom Paris), Serge Abitboul (ENS Paris) and Julia Stoyanovich (NYU).

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Understanding and Addressing Algorithmic Bias in Hiring

This online session is designed to generate insight into algorithmic bias in employment assessment software tools (aka hiring). Using a rotating presenter/panel format and building on timely field-based debates, the goal is to establish a common point of entry into the issue by tackling the socio-historical foundation of bias in technology that is present in today’s systems, especially algorithmic auditing initiatives (Mona Sloane); engaging in a deep dive into how these tools actually work, including the role of data in decisions, through the accessible metaphor of baking sourdough bread (Julia Stoyanovich); and sharing concrete evidence of current impacts through recent research, first-hand experience of such tools and critical perspectives on algorithmic auditing (Hilke Schellmann).

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Co-Opting AI: Games

This event will explore the deep historical and cultural links between games and technology, and specifically artificial intelligence. Featuring Kishonna L. Gray, Bo Ruberg, Julian Togelius, and Mona Sloane, the discussions will examine how games serve as a frontier of AI research, but also what – and whose – narratives shape “technological innovation” and “progress”, how this is connected to gaming cultures (or not), and how it is linked to wider structures of power and oppression.

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Digital Life Seminar | No. 2

The public Digital Life seminar series offers students and guests an opportunity to engage actively with leading scholars and practitioners researching and responding to the development and application of digital technologies.

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TechTalks: Tackling Race, Bias & Inequality in Artificial Intelligence

Artificial Intelligence (AI) is increasingly impacting our lives and interacting with the biases and inequalities that exist in our society.

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Co-Opting AI: Security

NYU’s Institute for Public Knowledge, the NYU Center for Responsible AI, and the 370 Jay Project invite you to a discussion on finance in the series “Co-Opting AI.” Narratives, policies, and innovations in AI are often tied up with notions of “security”. While our increasingly AI-mediated social world is vulnerable to different forms of cyber threats, “security” also serves as justification for large-scale surveillance of already over-policed and oppressed communities. The event will feature Laura Norén, Ram Shankar Siva Kumar, Newton Campbell, and Mona Sloane and will examine links between the topics of algorithmic harm, national security, and cybersecurity, and to ask what – or who – counts as “risk” or as “threat” in the context of AI.

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MLK Week Kick-Off: Courageous Conversations in AI

It is widely known that data science technology, if used irresponsibly, can reinforce inequity, limit accountability, and infringe on the privacy of individuals. Open and effective conversations around these issues of social (in)justice in Artificial Intelligence (AI) and beyond are pivotal in coalition-building and community engagement. And yet, in moments of opposing opinions, high stakes, and strong emotions, people often find themselves immobile and polarized. How, then, do we choose between chaos or community? How do we move forward? In this webinar, co-director of the NYU Center for Responsible AI, Dr. Julia Stoyanovich, and Stern adjunct assistant professor, Jennifer Wynn, will discuss these central questions and their implications. Virtual attendees will acquire the knowledge, tools, and courage required to help them engage in challenging conversations, remain vigilant within their communities, and enact social change in our increasingly digital and tech-oriented spaces.

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Responsible AI and Why it Matters

Join us November 19 for a thought-provoking webinar about the growing impacts of artificial intelligence in everyday life. 

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Uncovering Hidden Decisions: AI in Hiring

Join NYU’s Center for Responsible AI and the Queens Public Library's Job and Business Academy for a dynamic introduction to the often invisible but increasing role that artificial intelligence (AI) and automated decision systems (ADS) play in the hiring process, from screening and ranking resumes to the use of facial recognition software in interviews.

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Uncovering Hidden Decisions: AI in Hiring

Join NYU’s Center for Responsible AI and the Queens Public Library's Job and Business Academy for a dynamic introduction to the often invisible but increasing role that artificial intelligence (AI) and automated decision systems (ADS) play in the hiring process, from screening and ranking resumes to the use of facial recognition software in interviews.

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Uncovering Hidden Decisions: AI in Hiring

Join NYU’s Center for Responsible AI and the Queens Public Library's Job and Business Academy for a dynamic introduction to the often invisible but increasing role that artificial intelligence (AI) and automated decision systems (ADS) play in the hiring process, from screening and ranking resumes to the use of facial recognition software in interviews.

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Algorithmic Bias, Tech Policy, & Equity at NYC Media Summit

It is no secret that automated decision systems (ADS) are seeing ever broader use. In critical domains like hiring, these tools can help improve efficiency for both job seekers and employers, but they can also lead to arbitrary, unfair, or even discriminatory outcomes. How can we tell whether an ADS actually works? Who is responsible for catching bias and discrimination bugs? Should we regulate the use of these systems? What can we as technologists, business leaders, and members of the public contribute to the responsible design, development, and use of ADS? Join us to learn more and to make your voices heard!

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RIIPL Algorithmic Justice Webinar Series

Falaah Arif Khan and Julia Stoyanovich discuss their comic treatment of AI bias, normativity, and exclusion, as well as possible solutions with Professor Ellen P. Goodman. “Mirror Mirror”. Data, Responsibly Comics, Volume 1 (2020)

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