Black In AI
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Black In AI
Black in AI, formally called the Black in AI Workshop, is a technology research organization and affinity group, founded by computer scientists Timnit Gebru and Rediet Abebe in 2017. It started as a conference workshop, later pivoting into an organization. Black in AI increases the presence and inclusion of Black people in the field of artificial intelligence (AI) by creating space for sharing ideas, fostering collaborations, mentorship and advocacy. History Black in AI was created in 2017 to address issues of lack of diversity in AI workshops, and was started as its own workshop within the Conference on Neural Information Processing Systems (NeurIPS) conference. Because of algorithmic bias, ethical issues, and underrepresentation of Black people in AI roles; there has been an ongoing need for unity within the AI community to have focus on these issues. Black in AI has strived to continue the progress of improving the presence of people of color in the field of artificial in ...
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Rediet Abebe
Rediet Abebe (Amharic: ረድኤት አበበ; born 1991) is an Ethiopian computer scientist working in algorithms and artificial intelligence. She is an Assistant Professor of Computer Science at the University of California, Berkeley. Previously, she was a Junior Fellow at the Harvard Society of Fellows. Abebe's research develops mathematical and computational frameworks for examining questions related to inequality and distributive justice. She co-founded the multi-institutional interdisciplinary research initiatives ''MD4SG'' and Black in AI. Early life and education Abebe was born and raised in Addis Ababa, Ethiopia. She was educated in the Ethiopian National Curriculum at Nazareth School before winning a competitive merit-based scholarship to attend the International Community School of Addis Ababa for high school. Abebe attended Harvard University where she earned a Bachelor of Arts degree in mathematics and later a Master of Science degree in applied mathematics. As a ...
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Rockefeller Foundation
The Rockefeller Foundation is an American private foundation and philanthropic medical research and arts funding organization based at 420 Fifth Avenue, New York City. The second-oldest major philanthropic institution in America, after the Carnegie Corporation, the foundation was ranked as the 39th largest U.S. foundation by total giving as of 2015. By the end of 2016, assets were tallied at $4.1 billion (unchanged from 2015), with annual grants of $173 million. According to the OECD, the foundation provided US$103.8 million for development in 2019. The foundation has given more than $14 billion in current dollars. The foundation was started by Standard Oil magnate John D. Rockefeller ("Senior") and son "Junior", and their primary business advisor, Frederick Taylor Gates, on May 14, 1913, when its charter was granted by New York. The foundation has had an international reach since the 1930s and major influence on global non-governmental organizations. The World Health Organiza ...
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Information Ethics
Information ethics has been defined as "the branch of ethics that focuses on the relationship between the creation, organization, dissemination, and use of information, and the ethical standards and moral codes governing human conduct in society". It examines the morality that comes from information as a resource, a product, or as a target. It provides a critical framework for considering moral issues concerning informational privacy, moral agency (e.g. whether artificial agents may be moral), new environmental issues (especially how agents should behave in the infosphere), problems arising from the life-cycle (creation, collection, recording, distribution, processing, etc.) of information (especially ownership and copyright, digital divide, and digital rights). It is very vital to understand that librarians, archivists, information professionals among others, really understand the importance of knowing how to disseminate proper information as well as being responsible with their acti ...
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Organizations Based In Santa Clara County, California
An organization or organisation (Commonwealth English; see spelling differences), is an entity—such as a company, an institution, or an association—comprising one or more people and having a particular purpose. The word is derived from the Greek word ''organon'', which means tool or instrument, musical instrument, and organ. Types There are a variety of legal types of organizations, including corporations, governments, non-governmental organizations, political organizations, international organizations, armed forces, charities, not-for-profit corporations, partnerships, cooperatives, and educational institutions, etc. A hybrid organization is a body that operates in both the public sector and the private sector simultaneously, fulfilling public duties and developing commercial market activities. A voluntary association is an organization consisting of volunteers. Such organizations may be able to operate without legal formalities, depending on jurisdiction, includin ...
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Data Activism
Data activism is a social practice that uses technology and data. It emerged from existing activism sub-cultures such as hacker an open-source movements. Data activism is a specific type of activism which is enabled and constrained by the data infrastructure. It can use the production and collection of digital, volunteered, open data to challenge existing power relations. It is a form of media activism; however, this is not to be confused with slacktivism. It uses digital technology and data politically and proactively to foster social change. Forms of data activism can include digital humanitarianism and engaging in hackathons. Data activism is a social practice that is becoming more well-known with the expansion of technology, open-sourced software and the ability to communicate beyond an individual's immediate community. The culture of data activism emerged from previous forms of media activism, such as hacker movements. A defining characteristic of data activism is that ordinary ...
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Ethics Of Science And Technology
Ethics or moral philosophy is a branch of philosophy that "involves systematizing, defending, and recommending concepts of right and wrong behavior".''Internet Encyclopedia of Philosophy'' The field of ethics, along with aesthetics, concerns matters of value; these fields comprise the branch of philosophy called axiology. Ethics seeks to resolve questions of human morality by defining concepts such as good and evil, right and wrong, virtue and vice, justice and crime. As a field of intellectual inquiry, moral philosophy is related to the fields of moral psychology, descriptive ethics, and value theory. Three major areas of study within ethics recognized today are: # Meta-ethics, concerning the theoretical meaning and reference of moral propositions, and how their truth values (if any) can be determined; # Normative ethics, concerning the practical means of determining a moral course of action; # Applied ethics, concerning what a person is obligated (or permitted) to do in a sp ...
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Diversity In Computing
Diversity in computing refers to the representation and inclusion of underrepresented groups, such as women, people of color, individuals with disabilities, and LGBTQ+ individuals, in the field of computing. The computing sector, like other STEM fields, lacks diversity in the United States. Despite women constituting around half of the U.S. population they still are not properly represented in the computing sector. Racial minorities, such as African Americans, Hispanics, and American Indians or Alaska Natives, also remain significantly underrepresented in the computing sector. Two issues that cause the lack of diversity are: 1. Pipeline: the lack of early access to resources 2. Culture: exclusivity and discrimination in the workplace The lack of diversity can also be attributed to limited early exposure to resources, as students who do not already have computer skills upon entering college are at a disadvantage in computing majors. There is also the issue of discrimination a ...
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Machine Learning Researchers
A machine is a physical system using power to apply forces and control movement to perform an action. The term is commonly applied to artificial devices, such as those employing engines or motors, but also to natural biological macromolecules, such as molecular machines. Machines can be driven by animals and people, by natural forces such as wind and water, and by chemical, thermal, or electrical power, and include a system of mechanisms that shape the actuator input to achieve a specific application of output forces and movement. They can also include computers and sensors that monitor performance and plan movement, often called mechanical systems. Renaissance natural philosophers identified six simple machines which were the elementary devices that put a load into motion, and calculated the ratio of output force to input force, known today as mechanical advantage. Modern machines are complex systems that consist of structural elements, mechanisms and control components ...
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Ethics Of Artificial Intelligence
The ethics of artificial intelligence is the branch of the ethics of technology specific to artificially intelligent systems. It is sometimes divided into a concern with the moral behavior of ''humans'' as they design, make, use and treat artificially intelligent systems, and a concern with the behavior of ''machines,'' in machine ethics. It also includes the issue of a possible singularity due to superintelligent AI. Ethics fields' approaches Robot ethics The term "robot ethics" (sometimes "roboethics") refers to the morality of how humans design, construct, use and treat robots. Robot ethics intersect with the ethics of AI. Robots are physical machines whereas AI can be only software. Not all robots function through AI systems and not all AI systems are robots. Robot ethics considers how machines may be used to harm or benefit humans, their impact on individual autonomy, and their effects on social justice. Machine ethics Machine ethics (or machine morality) is the fie ...
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Data For Black Lives
Data for Black Lives (D4BL) is an American non-profit organization with the mission of using data science to create concrete and measurable change in the lives of black people. Headquartered in Cambridge, Massachusetts, Data for Black Lives was founded by Yeshimabeit Milner and Lucas Mason-Brown. Milner attended Brown University; having encountered discrimination towards the black community, she organized a group of scientists to combat the mistreatment of black people within data algorithms. History D4BL began in November 2017 as statistical research project, and expanded into working with a team of people on data analysis. The formation of D4BL was initiated by Yeshimabeit Milner, who witnessed racial discrimination, watching her peers suffer from police brutality. Milner discovered through research that black children were getting suspended at a much higher rate than white children. After graduating from Brown University, Milner incorporated her passion for da ...
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Algorithmic Bias
Algorithmic bias describes systematic and repeatable errors in a computer system that create "unfair" outcomes, such as "privileging" one category over another in ways different from the intended function of the algorithm. Bias can emerge from many factors, including but not limited to the design of the algorithm or the unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm. For example, algorithmic bias has been observed in search engine results and social media platforms. This bias can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity. The study of algorithmic bias is most concerned with algorithms that reflect "systematic and unfair" discrimination. This bias has only recently been addressed in legal frameworks, such as the European Union's General Data Protection Regulation (2018) and the proposed Artificial Intelligence A ...
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African-American Women In Computer Science
African-American women in computer science were among early pioneers in computing in the United States, and there are notable African-American women working in computer science. History African-American women were hired as mathematicians to do technical computing needed to support aeronautical and other research. They included such women as Katherine G. Johnson and Dorothy Vaughan, who had careers of decades at NASA. Among Johnson's projects was calculating the flight path for the United States' first mission into space in 1961. She is credited as co-author of 26 scientific papers. The practice in 1960 was to list only the head of the division as author. The crediting of Johnson as an author in a peer-reviewed NASA report is significant. Black women were also among the ENIAC programmers, who programmed the first digital computer for the US Army. Their stories have not been documented. Given the dearth of information regarding the contributions of women in early computer scien ...
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