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From August 7-11, 2017, secUnity invites you to its second summer school at Technische Universität Darmstadt. This event is organized by the Chair for Software Business and Information Management (http://www.is.tu-darmstadt.de) and will focus on research topics related to economic and interdisciplinary approaches to IT security and privacy.
The secUnity International Summer School on Economics of IT Security and Privacy provides an opportunity to advanced Bachelor, Master and PhD students as well as young scholars to learn more about IT security and privacy in general as well as in relation to business models and legal aspects. The event will be a mix of lectures and hands-on exercises, allowing the students to learn how to design a business model in the context of IT security and privacy which will be reviewed at the end of the event. Furthermore, we offer a multifaceted program covering theoretical and practical aspects in the lectures.
Topics covered during the summer school include (among others):
• Introduction to IT Security and Privacy
• IT Security Management
• Ethical Hacking and National Security
• IT Security Research
• Entrepreneurship and E-Business
• Legal Aspects of IT Security and Privacy
The registration fee for the summer school is free for students and 500 Euro for industry participants. This fee includes daily refreshments, lunch, and social events.
*** scholarships for accommodation and travel for international participants available ***
This workshop aims to bring together a growing community of researchers, practitioners, and policymakers concerned with fairness, accountability, and transparency in machine learning. The past few years have seen growing recognition that machine learning raises novel ethical, policy, and legal challenges. In particular, policymakers, regulators, and advocates have expressed fears about the potentially discriminatory impact of machine learning and data-driven systems, with many calling for further technical research into the dangers of inadvertently encoding bias into automated decisions. At the same time, there is increasing alarm that the complexity of machine learning and opaqueness of data mining processes may reduce the justification for consequential decisions to “the algorithm made me do it” or “this is what the model says.” The goal of this workshop is to provide researchers with a venue to explore how to characterize and address these issues with computationally rigorous methods. We seek contributions that attempt to measure and mitigate bias in machine learning, to audit and evaluate machine learning models, and to render such models more interpretable and their decisions more explainable.
This year, the workshop is co-located with the 23rd SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2017). The workshop will consist of a mix of invited talks, invited panels, and contributed talks. We welcome paper submissions that address any issue of fairness, accountability, and transparency related to machine learning. This year, we place a special emphasis on papers describing how to bring tools for ensuring fairness, accountability, or transparency into real world applications of machine learning. We especially welcome submissions from practitioners in industry, government, and civil society.
Nymity has conducted extensive empirical research with organizations that are taking an accountability approach to GDPR compliance. Learn what organisations have implemented and what is planned for GDPR compliance. Gain a more granular understanding of what policies, procedures and other accountability mechanisms are being implemented to comply with the GDPR. Learn how organisations are repurposing existing policies, procedures, codes of conduct and other accountability mechanisms that have been in place to govern the business, and how they turn them into GDPR accountability mechanisms.
You will learn:
1. Organisational priorities for GDPR compliance
2. How different sizes of organisations and different industries compare in the GDPR compliance efforts
3. How Nymity Templates™ can help you operationalise ongoing compliance with over 900 practical resources that can help generate evidence for reviews and audits
Registration Link: https://register.gotowebinar.com/register/4495005127705161729
This webinar is part of the TrustArc Privacy Insight Series.
| SmartPrivacy is a practitioner-focused, half day local workshop where privacy professionals can learn from each other about tools and best practices to operationalize their privacy programs.
The workshop is hosted by OneTrust, however, is open to any privacy professional regardless of tool or template of choice. Attendees can expect to receive 4.5 CPE credit hours, the ultimate PIA/DPIA, Data Inventory & Mapping, and Data Subject Rights Handbooks, access to free software tools, how-to guides, and best practices documents on the topics covered. Workshop Agenda: |
Privacy Ref and CyberDefenses have teamed up to bring privacy and security together. Join us Thursday August 17th at 2pm EDT to learn how GDPR affects US Companies.
Please join local IAPP members for an informal evening of networking. Attendees are responsible for their own expenses.
This KnowledgeNet Happy Hour is a fun and easy way to get to know other local privacy professionals. The event is open to anyone who works in or is interested in privacy. There’s no agenda, just show up and have a good time!
Please note: CPE credits are not awarded for KnowledgeNet Happy Hours.
Special thank you to Washington, DC Chapter Young Privacy Professional Leaders, Christina Lauderdale, Senior Consultant, Booz Allen Hamilton, and Jay Sinha, CIPP/G, CIPP/US, Staff Counsel, Verizon Enterprise Solutions, for organizing this happy hour.
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Bringing together presenters from fields including art, journalism, and sociology, this panel will investigate how algorithms shape our lives in realms as disparate as criminal justice, online shopping, and social media. Algorithms affect everything from healthcare and insurance premiums to job opportunities and predictive policing. How might we resist discriminatory artificial intelligence and become informed digital citizens?
Katherine Cross is a sociologist and PhD student at the CUNY Graduate Center in New York City who studies antisocial behavior online. Her work has appeared in Time, the Guardian, Rolling Stone, the Verge, Bitch, and numerous other outlets; she is also a widely published videogame critic and a weekly columnist at Gamasutra.
Stephanie Dinkins, an artist and a professor at Stony Brook University, is interested in creating platforms for ongoing dialogue about artificial intelligence as it intersects race, gender, aging, and our future histories. She is particularly driven to work with communities of color to develop deep-rooted literacy with artificial intelligence and co-create more culturally inclusive and equitable AI. Her art employs lens-based practices, the manipulation of space, and technology to grapple with notions of consciousness, agency, perception, and social equity.
Jeff Larson is a reporter at ProPublica. He worked on their Machine Bias series, a Pulitzer Prize finalist for Explanatory Journalism, and is a winner of the Livingston Award for the 2011 series Redistricting: How Powerful Interests are Drawing You Out of a Vote.
Surya Mattu is an artist and engineer based in Brooklyn. He is currently the data reporter at GMG’s Special Projects Desk. Previously, he was a contributing researcher at ProPublica, where he worked on Machine Bias, a series that aims to highlight how algorithmic systems can be biased and discriminatory. Machine Bias was a Pulitzer Prize finalist for Explanatory Journalism. Mattu was also a fellow at Data & Society. He has recently shown work at the Victoria & Albert Museum, the Whitney Museum of American Art, Haus der Kulturen der Welt, and Bitforms.
Personal Data Week ™ is the world’s most pertinent conference to discuss the future of the Personal Data asset class and foster collaboration across all sectors including, retail, marketing, finance, health, government, legal and more!
SPEAKERS
James Felton Keith, Award-winning engineer and economist, and chairman of the International Personal Data Trade Association
Sen. Timothy Kennedy, The ranking member of the New York State Senate’s Commerce Committee and Infrastructure Committee who introduced legislation to ban ISPs from selling consumers’ personal data
David “Doc” Searls, Marketing, PR and advertising expert, author of Cluetrain Manifesto (2002), and founder of Harvard University’s ProjectVRM
George Pappachen, EVP of Corporate Development & Strategy at Research Now Group, Inc. and former Global Chief Privacy Officer at WPP
Ted Claypoole, Partner of Womble & Carlyle’s Intellectual Property Practice Group and renowned attorney in the privacy and data security sector
Julian Ranger, Angel investor, serial entrepreneur, and Founder and Chairman of digi.me,
Joel Telpner, Corporate and Finance Partner at Sullivan & Worcester LLP
Jack Mohr, Former Chief Investment Strategist of The Street
Martin Pelletier, CFA, Portfolio Manager and OCIO at TriVest Wealth Counsel Ltd, and columnist at Financial Post
Thomas A. Kovatch, Owner of UIC Inc. Insurance Consultants
Steven Schwartz, Executive Vice President of Cyberfense
Harumi Urata-Thompson, Former, COO of The New York Society of Security Analysts, Inc. (NYSSA)
Linnette Attai, Regulatory and self-regulatory compliance issues expert, and author of a COPPA Safe Harbor program
Patricia Paul, Partner at CrossdalePaul LLC
Steve Bergman, CEO of 360ofMe
Go to www.PersonalDataWeekNYC.com for more information.
Code for Science and Society will talk about Dat, a distributed data sharing tool that incorporates privacy-aware cryptographic techniques. Dat is designed as a general purpose tool for any data on the web, using a style of collaboration similar to what Git brings to source code. Learn more at https://datproject.org.
Speaker: Karissa McKelvey, co-founder of Code for Science and Society
Food and beverage generously provided by our host!