The Berkman Klein Center seeks three employee fellows to play a central role in building and enhancing the Center's research efforts related to artificial intelligence, autonomous systems, and related technologies (https://cyber.harvard.edu/node/99764). The fellows will collaborate with a wide array of scholars, practitioners, and staff across our community. Each fellow will be responsible for one of the broad focus areas of the Center's AI work: research, community, and education. Primary responsibilities of all three fellows include offering substantive expertise and managerial support to Center projects and programs exploring AI and its societal impacts. Additionally, the three fellows will help the Center and its faculty and staff develop and plan for future projects, advance the Center's knowledge base, and integrate learnings from research projects, community building efforts, and educational activities into the broader initiative.
The Berkman Klein Center and the MIT Media Lab are collaborating on several interdisciplinary activities with the overarching mission to support the development and use of AI in the public interest. The work, supported through the Ethics and Governance of Artificial Intelligence Fund, is centered around evidence-based research and impact-oriented activities that advance the development and deployment of AI for the public good.
The AI fellows will play several key roles across multiple projects, with tasks including but not limited to:
working actively with faculty and senior research staff to coordinate, support, and contribute to various planned and ongoing projects through the development of research pilots and sprints (through products such as written materials, workplans, coordination memos); the implementation of community and capacity building efforts (through programs, events, and network development); and the advancement of education, training, and outreach (through curricular materials, translational tools, and convening).
contributing to the development of the Center's long-term research, community, and education-focused plans within the space of AI ethics and governance;
cultivating and supporting relationships between scholars, experts, and practitioners in a wide array of fields such as social science, computer science, law, public policy, governance, ethics, philosophy, economics, media and journalism, applied mathematics, and others in order to understand the landscape of substantive issues related to the ethics and governance;
engaging and collaborating with key stakeholders in the private, public, and civil sectors in order to bridge, translate, and foster novel collaborations for learning;
planning, communicating, and implementing AI-related workshops and convenings;
identifying challenges and opportunities that are context- or domain-specific, gaining a deeper understanding of cross-sectional issues that need to be addressed, and taking a driving role in designing and implementing activities to explore these challenges;
monitoring developments across the AI research ecosystem, sharing important and relevant updates with AI research teams, and offering mentoring and educational roles with respect to AI across the community;
managing the selection, oversight, goal-setting, and mentorship of student interns and research assistants;
developing agendas, plans and timelines to advance project priorities, meet deadlines, and communicate outputs to both funders, key stakeholders, and the public at large; and
providing additional project support as needed across the range of BKC projects related to AI.
More specific responsibilities may vary by focus area.
The Berkman Klein Center (https://cyber.harvard.edu/) and the MIT Media Lab are collaborating on several interdisciplinary activities with the overarching mission to support the development and use of AI in the public interest. The work, supported through the Ethics and Governance of Artificial Intelligence Fund, is centered around evidence-based research and impact-oriented activities that advance the development and deployment of AI for the public good.
These three fellowship roles are part of the broader fellows community at the Berkman Klein Center. The community of fellows at the Center includes a wide range of people working on issues related to Internet and society, including scholars, practitioners, innovators, and others committed to understanding and advancing the public interest. The Berkman Klein Center fellowship program aims to encourage and support fellows in an inviting and rigorous intellectual environment, with community activities designed to foster inquiry and collaboration.
Research: Through our research efforts, we seek to identify and engage in areas where, along with partner institutions, we can inform and even shape the development and use of AI-related technologies, practices, and policies. We have begun a series of research sprints and pilots which emphasize interdisciplinary research that advances AI in the public interest. Additionally, we are incubating several other longer-term research efforts. Both the pilots and longer term efforts all explore the important and timely issues in the emerging debate about AI ethics and governance. This is a great opportunity for a candidate with expertise in machine learning and enthusiasm for translating technical challenges for non-technical audiences. The position is ideal for a candidate with an interest in social science or policy, who seeks to serve the public interest, further academic pursuits, and work in an intellectually invigorating environment.
Community and Capacity Building: We seek to build community and capacity across disciplines, perspectives, and geographies to advance our collective understanding of the challenges and opportunities that AI creates for society. Too often, discussions about AI are typically siloed within disciplines and sectors. To start closing this gap, the Berkman Klein Center and Media Lab are engaging in a variety of community and capacity building activities, which build upon existing programs, networks, and collaborations. This is a great opportunity for a candidate with extensive experience in working across disciplines, who enjoys enabling and activating interdisciplinary collaborations and networks.
Education, Training, and Outreach: The current AI ecosystem is characterized by a series of information asymmetries that have serious implications from an ethics and governance perspective. We want to address two of the most pressing challenges by breaking down silos between technical experts and those with knowledge about the societal, ethical, and legal/policy implications of these technologies, and improve information flows between experts and the very large, uninformed population that is or will be affected by these "black box" technologies. The AI Education Fellow will work to increase the impact of Berkman Klein's research and community through developing and supporting initiatives that translate the Center's work into local and online classroom settings, to decision makers in the public and private sectors, and the broader public sphere.
Please indicate the primary focus area you are most interested in within your application. Applications will be reviewed based on the needs of the projects in all three focus areas, so an expression of interest in one area will not limit consideration of your application in another area.
Salary Grade: 090
Union: 00 - Non Union, Exempt or Temporary
Candidates must have 3 or more years of experience in practice or academia working on complex research projects.
Advanced degree preferred. Solid writing, editing and proofreading skills, along with strong written and oral communications skills. The flexibility to work independently and also within teams is critical. Knowledge of current Internet issues is essential.
Candidates should be energetic and passionate about working on issues related to AI and autonomous systems. Top academic credentials, superior writing and verbal skills, proven management and organization skills, sound judgment, exceptional ethical standards, and proven abilities in interpersonal communication and team building are required. The ability to multi-task across different projects and initiatives and the ability to work as part of a team in a highly collaborative environment in order to advance organizational and institutional goals.
Demonstrable knowledge, including a degree or practical experience, of ethics, governance, fairness/inclusion, accountability, digital media analysis, or big data in fields such as computer science, social science, ethics, philosophy, theology, economics, law, or policy is preferred.
This is a term appointment currently expected to extend to 6/30/2018, subject to funding and departmental need.
All offers to be made by HLS Human Resources.
EQUAL OPPORTUNITY EMPLOYER: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. T...he University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.