Noteworthy Information
Principles for Revenue Models of Data Stewardship

One of the biggest concerns, given data is an intangible and valuable asset, is how business models can be structured so that stewards remain incentivized to serve the interests of individuals and communities, and do not use the data for their own ends. Data is a complex resource, and to understand potential revenue models of a steward, this paper studies resources or assets which embody the complexity of data and the accompanying ethical issues of protection.
You may also want to have a look at "Understanding data stewardship: taxonomy and use cases" from the same source.

Princípios para modelos de receita de gerenciamento de dados

Uma das maiores preocupações, uma vez que os dados são um ativo intangível e valioso, é como os modelos de negócios podem ser estruturados para que os administradores permaneçam incentivados a servir aos interesses de indivíduos e comunidades e não usem os dados para seus próprios fins. Os dados são um recurso complexo e, para compreender os modelos de receita potencial de um administrador, este artigo estuda os recursos ou ativos que incorporam a complexidade dos dados e as questões éticas de proteção que os acompanham. Você também pode dar uma olhada em "Compreendendo o gerenciamento de dados: taxonomia e casos de uso" da mesma fonte.

Como o aplicativo móvel da campanha Trump está coletando grandes quantidades de dados do eleitor

The New Yorker no aplicativo móvel para a campanha de reflexão de Donald Trump, que foi desenvolvida pelo corretora de anúncios e empresa de software Phunware, e como ele reúne dados de usuários de uma forma invasiva que lembra os métodos de Cambridge Analytica.

How the Trump Campaign’s Mobile App Is Collecting Huge Amounts of Voter Data

The New Yorker on the mobile app for Donald Trump’s reëlection campaign, which was developed by the ad broker and software company Phunware, and how it gathers users’ data in an invasive way reminiscent of the methods of Cambridge Analytica.

トランプ氏の再選キャンペーンに使われるモバイルアプリは膨大な投票者データをどのように収集している?

The New Yorkerの記事によると、広告ブローカーとソフトウェア会社のPhunware社が開発したトランプ氏の再選キャンペーンに使われているモバイルアプリは、Cambridge Analytica同事件を手短に解説した日本語の情報はこちら)を連想させる侵害的な方法でユーザーのデータを収集しているようです。

トランプ氏の再選キャンペーンに使われるモバイルアプリが膨大な投票者データをどのように収集しているのでしょうか

The New Yorkerの記事によると、広告ブローカーとソフトウェア会社のPhunware社が開発したトランプ氏の再選キャンペーンに使われているモバイルアプリは、Cambridge Analyticaを連想させる侵害的な方法でユーザーのデータを収集しているそうです。

Local-first software (PDF)

Neste artigo, a Ink & Switch propõe “local-first software”: um conjunto de princípios para software que permite a colaboração e propriedade para os usuários. Os ideais locais incluem a capacidade de trabalhar offline e colaborar em vários dispositivos, ao mesmo tempo que melhora a segurança, privacidade, preservação a longo prazo e controle de dados do usuário.

ローカルファーストのソフトウェア(記事はPDFフォーマット)

この記事では、Ink&Switchが「ローカルファーストソフトウェア」を提案しています。これは、ユーザーのコラボレーションと所有権の両方を可能にするソフトウェアの一連の原則です。 ローカルファーストの理想には、オフラインで作業し、複数のデバイス間で共同作業する機能が含まれると同時に、データのセキュリティ、プライバシー、長期保存、およびユーザー制御が改善されます。

Local-first software (PDF)

In this article Ink & Switch propose “local-first software”: a set of principles for software that enables both collaboration and ownership for users. Local-first ideals include the ability to work offline and collaborate across multiple devices, while also improving the security, privacy, long-term preservation, and user control of data.

Democratizando Nossos Dados: Um Manifesto

Os dados públicos são fundamentais para o nosso sistema democrático. As pessoas precisam de informações consistentemente de alta qualidade de fontes confiáveis. Na nova economia, a riqueza é gerada pelo acesso aos dados; o trabalho do governo é democratizar o campo de jogo de dados. No entanto, os dados produzidos pelo governo americano estão piorando e custando mais. Em Democratizing Our Data, Julia Lane argumenta que bons dados são essenciais para a democracia. Seu livro é um alerta para que a América conserte seu sistema de dados públicos quebrado. Considere também se juntar ao Center for Data Innovation na sexta-feira, 2 de outubro de 2020 às 12:00 PM EDT para uma conversa com Julia Lane sobre seu novo livro.

Democratizing Our Data: A Manifesto

Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy sources. In the new economy, wealth is generated by access to data; government's job is to democratize the data playing field. Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data, Julia Lane argues that good data are essential for democracy. Her book is a wake-up call to America to fix its broken public data system.
Consider to also join the Center for Data Innovation on Friday, October 2, 2020 at 12:00 PM EDT for a conversation with Julia Lane on her new book.

データの民主化:マニフェスト

公開データは、私たちの民主主義システムの基盤です。 人々は信頼できる情報源からの一貫した高品質の情報を必要としています。 新しい経済では、富はデータへのアクセスによって生成されます。 政府の仕事は、データの競争条件を民主化することです。 それでも、アメリカ政府が作成したデータは悪化し、コストが高くなっています。 データの民主化において、Julia Laneさんは、優れたデータは民主主義にとって不可欠であると主張しています。 彼女の本は、壊れた公共データシステムを見直すためのアメリカへの注意を促す警鐘です。
2020年10月2日(金)の午後12時 EDTにデータイノベーションセンターに参加して、Julia Laneさんとの新しい本についての会話を検討してください。

日本時間は10月3日(土)午前1時

Building Collective Power to Refuse Harmful Data Systems

“Collective refusal” as an alternative for (or a complement to?) individual consent.

Building Collective Power to Refuse Harmful Data Systems

“Collective refusal” as an alternative for (or a complement to?) individual consent.

Construindo poder coletivo para recusar sistemas de dados prejudiciais

“Recusa coletiva” como alternativa (ou complemento?) do consentimento individual.

Mudança de paradigma de SEAM para HAACS

Richard Whitt descreve a necessidade da mudança de um paradigma de SEAM (vigiar, extrair, analisar, manipular, em tradução) para um dos HAACS (autonomia humana/agência via sistema de computador).

Shifting paradigm from SEAM to HAACS

Richard Whitt describes the need to shift from a paradigm of SEAM (surveil, extract, analyse, manipulate) to one of the HAACS (Human autonomy/agency via computer system)

SEAMからHAACSへのパラダイム移行

Richard Whitt 氏は SEAM のパラダイム(監視、抽出、分析、操作)から HAACS(コンピューターシステムを介した人間の自律/代理店)の1つにシフトする必要性について説明しています。

レポート「目的達成には不向きなMSIs(Multi-Stakeholder Initiatives)」

民間企業に起因する人権侵害の撲滅を目指す MSI Integrity (The Institute for Multi-Stakeholder Initiative Integrity)が公表したレポート「Not Fit-For-Purpose」は、国際標準を掲げるMSIsに対して行った10年にわたる調査と分析の結果を反映したものです。レポートは、MSIsという壮大な実験が、人権侵害から効果的に身を守る手段を提供するというゴールにたどり着くことなく失敗した、と結論付けています。 MSIsは信頼の構築と対話の生成においては重要な役割を演じましたが、侵害を確実に検知したり、企業に侵害に対する責任を求めたり、被害者などへの救済策を提供したりする目的を達するには適さなかったとしています。

Not Fit-for-Purpose - MSI Integrity

Not Fit-For-Purpose reflects on a decade of research and analysis into international standard-setting Multi-Stakeholder Initiatives (MSIs). It concludes that this grand experiment has failed in its goal of providing effective protection against abuse. While MSIs can play important roles in building trust and generating dialogue, they are not fit-for-purpose to reliably detect abuses, hold corporations to account for harm, or provide access to remedy.

Não Fit-for-Purpose - Integridade MSI

Não adequado ao objetivo (Fit-for-Purpose) reflete uma década de pesquisa e análise sobre iniciativas internacionais de participação de múltiplos setores (MSIs). Foi concluído que esse grande experimento falhou em seu objetivo de fornecer proteção eficaz contra abusos. Embora os MSIs possam desempenhar papéis importantes na construção da confiança e na geração de diálogo, eles não são adequados para a finalidade de detectar abusos de maneira confiável, responsabilizar as empresas por danos ou fornecer acesso a soluções.

Não pergunte se a inteligência artificial é boa ou justa, pergunte como ela influencia no poder

Não é incomum os especialistas em IA perguntarem se uma IA é “justa” e “para o bem”. Mas "justo" e "bom" são palavras infinitamente espaçosas que qualquer sistema de IA pode ser espremido. A questão a ser colocada é mais profunda: como a IA está influenciando a manutenção de poder?

Don’t ask if artificial intelligence is good or fair, ask how it shifts power

It is not uncommon now for AI experts to ask whether an AI is ‘fair’ and ‘for good’. But ‘fair’ and ‘good’ are infinitely spacious words that any AI system can be squeezed into. The question to pose is a deeper one: how is AI shifting power?

人工知能は善きものか、または公正であるか。それより問うべきは、AIを用いて誰がどのようにして権益を得ているのかということ

今日、AIの専門家がAIが「フェア/公正」で「グッド/良い」かどうかを尋ねることは珍しくありません。どんなAIシステムにも適用できる質問です。しかし、筆者が提起する問題はより深いものです。AIを用いて、誰がどのようにして新たな権力を握っているのでしょうか。

ティム・バーナーズ・リーが訴求:COVID-19時代、パーソナルデータをオンラインで共有する方法の変更が必要に

パーソナルデータを整理、共有するための新しいアプローチがいかに急務であるかと、ティム・バーナーズ・リー卿は訴えています。

We Need to Change How We Share Our Personal Data Online in the Age of COVID-19

COVID-19 underscores how urgently we need a new approach to organizing and sharing personal data writes Sir Tim Berners-Lee.

Precisamos mudar a forma como compartilhamos nossos dados pessoais on-line em tempos de COVID-19

O COVID-19 ressalta com que urgência precisamos de uma nova abordagem para organizar e compartilhar dados pessoais, escreve Sir Tim Berners-Lee.

CJEU invalidates “Privacy Shield” in US Surveillance case

The EU's Court of Justice has just invalidated the "Privacy Shield" data sharing system between the EU and the US, because of overreaching US surveillance.

EUの司法裁判所は米国による行き過ぎた情報監視が権利侵害だとして「プライバシーシールド」を無効化

EUの司法裁判所(CJEU)は、米国が同国の国家安全保障局(NAS)の監視から米国企業が有する自国民以外の情報を保護していない、としてEUと米国の間のデータ共有に関する枠組み「プライバシーシールド」を無効にしました。Facebookなどの米国企業は、EEA域外へのパーソナルデータの移転を特別に認めるGDPR(一般データ保護規則)の標準的契約条項(SCC:Standard contractual clauses)を締結できなくなります。併せて、EU司法裁判所は、GDPRの適用を行うべき欧州委員会および、アイルランドのデータ保護委員会(Irish Data Protection Commission)などにGDPRを形骸化させないようにその責務を果たすよう求めています。

CJEU invalida "Privacy Shield" no caso de vigilância nos EUA

O Tribunal de Justiça da UE acaba de invalidar o sistema de compartilhamento de dados "Privacy Shield" entre a UE e os EUA, devido à supervisão excessiva dos EUA.

Designing sustainable data institutions

Data institutions are organisations whose purpose involves stewarding data on behalf of others, often towards public, educational or charitable aims. For these institutions to achieve this purpose, they need to be sustainable.

持続可能なデータ機関の設計

データ機関は、多くの場合、公共、教育、または慈善目的に向けて、他の人々のためにデータを管理することを目的とする組織です。これらの機関がその目的を達成するには、持続可能であることが不可欠です。

Projetando instituições de dados sustentáveis

Instituições de dados são organizações cujo objetivo envolve a administração de dados em nome de outras pessoas, geralmente para fins públicos, educacionais ou de caridade. Para que essas instituições atinjam esse objetivo, precisam ser sustentáveis.

The Internet of Bodies is here. This is how it will change our lives

Smart thermometers, digital pills: the Internet of Bodies connects and analyses our health data. Here's what we must do to make the technology work for us.

The Internet of Bodies is here. This is how it will change our lives(Internet of Bodies は私たちの生き方をどう変える?)

検温器、歯ブラシ、ヘアブラシ、さらに飲み込むと溶けずに胃でデータを集めるデジタルピル。IoTのように様々なデバイスが私たちの体の中の情報を集めて医療や健康改善などに活用できる時代になりました。一方でプライバシーを侵害するリスクも高まっています。これらのテクノロジーを人生に役立つようにするためにしなければならないこととは何でしょうか?

A Internet dos Corpos está aqui, e é assim que ela irá mudar nossas vidas

Termômetros inteligentes, pílulas digitais: a Internet dos Corpos conecta e analisa nossos dados de saúde. Aqui está o que devemos fazer para que a tecnologia funcione para nós.

People First: A Vision for the Global Urban Age

The People-first vision is a new perspective to how cities can govern and benefit from digital technologies in the global urban age, by developing people’s rights and technologies in harmony.

Pessoas em primeiro lugar: uma visão para a era urbana global

O panorama “Pessoas-primeiro” é uma nova perspectiva de como as cidades podem governar e aproveitar os benefícios das tecnologias digitais na era urbana global, desenvolvendo os direitos e as tecnologias dos cidadãos em harmonia.

7 Slack privacy settings you should enable now

The communications platform that many have come to rely on for both work and staying in touch with friends is, like most things online, a potential privacy disaster waiting to happen. And while you may not have a choice in whether you use the tool, you do have the option to lock its privacy settings down to mitigate any fallout before it's too late.

Beyond a Human Rights-based approach to AI Governance

This paper discusses the establishment of a governance framework to secure the development and deployment of “good AI”, and describes the quest for a morally objective compass to steer it.

The World in 2030: Nine Megatrends to Watch

Especially relevant for MyData are: Urbanization: Two-thirds of us will live in cities; Transparency: Our world will become even more open — and less private; Technology Shifts: The internet of things will have won the day, and every new device will be connected.

Do you really need all this personal information, @RollingStone?

The linked Privacy Policy in the popover that greets visitors on arrival at Rolling Stone’s website is supplied by Rolling Stone’s parent (PMC) and weighs more than 10,000 words. In it the word “advertising” appears 68 times. Adjectives modifying it include “targeted,” “personalized,” “tailored,” “cookie-based,” “behavioral” and “interest-based.”

Challenging algorithmic profiling: The limits of data protection and anti-discrimination in responding to emergent discrimination

Interesting article using intersectional analysis do define and recommend mitigations to emergent discrimination in algorithmic systems.

Why the Global South should nationalise its data

Big Tech corporations are extracting data from users across the world without paying for it. It is time to change that.

What do we mean by data empowerment?

People must be made aware of their rights, able to exercise them, and able to claim redress if their rights are violated.

Are INGOs ready to give up power?

“Southern organisations need to find ways to take power, rather than wait for it to be ’shifted’ to them.” Some important thoughts about international NGOs like us and shifting the power to the South.

Money is not the only reward for sharing data online

Sharing data altruistically on digital platforms in the health sector or in research-related environments is seen as contributing to the common good, according to a new report by the Esade Institute for Social Innovation entitled My Data, My Rules: From data extractivism to digital empowerment. The study focuses on digital empowerment and analyses 13 case studies in which people have control over their personal data, with particular emphasis on the experiences of Digital Estonia, Cozy Cloud and MIDATA.coop.

Support Centre for Data Sharing

The Support Centre for Data Sharing (SCDS) initiative focuses specifically on researching, documenting, and reporting about the data sharing practices, EU legal frameworks, and access and distribution technology that are relevant to organisations, and that imply novel models, and legal or technological challenges.

Information Bank: Ryosuke Shibasaki at TEDxTokyo

Found this TEDxTokyo talk from 2012 where Prof. Ryosuke Shibasaki pitches an information bank (same exact idea as a MyData operator).

Smart data: putting consumers in control of their data and enabling innovation

We are seeking views on proposals to allow the creation of innovative data-driven services, for the benefit of consumers.


Questions Asked
Is selling personal data like smoking?

A great discussion triggered by this statement: Like smoking, selling personal data generated by one should be allowed if the individual so wants and it should be taxed to high heaven to discourage people from doing so.

MyData Wikipedia Page

There is no MyData entry on the English Wikipedia so far becahuse it’s been tricky to get past the [Notability requirement](https://en.wikipedia.org/wiki/Wikipedia:Notability. Since MyData is now referenced in the EU Data Strategy this should be easier. Are there any wikipedia experts/enthusiasts around who’d like to look into this?

Open Invention Network

Viivi had an interesting chat with a person from the Open Invention Network who hopes that MyData Global would engage with them. They have a mechanism in place for becoming a “friend organisation”, which is an idea we’ve been kicking around at MyData Global as well. Question to open source folks here: what do you make of the initiative?

Should AGM coincide with the global conference in odd years?

In the future, would it make sense to organise the association’s autumn general meetings (AGM) to coincide with the global conference in odd years? As in, have the AGM as a part of the conference programme?

Questions in Leadership-Elections channel

Viivi started a channel to get to know our leadership candidates in advance of the election. This post summarizes the questions asked and links to the respective answers on Slack:

  • Should MyData Global be taking a demonstrable leadership position by using MyData compatible tools to manage membership data; and if so what level of priority should be placed on this? see 13 answers
  • The theme of a previous conference was 'make it happen, make it right'. Can you imagine a scenario where the two intentions collide so much that you are eventually put in a position, as elected board member, where you have to cast the deciding vote on whether to dissolve MyData? see 10 answers
  • What can / should MyData Global get from its organizational members - and vice versa, what can / should org. members get from the membership. see 3 answers
Questions in Leadership-Elections channel

Viivi started a new channel this week to get to know our leadership candidates in advance of the election. This post summarizes the questions asked and links to the respective answers on Slack:

  • What is your stance towards Data Ownership? see 10 answers
  • MyData’s possible role in the field of regulation & soft regulation, code of coduct and standardization? see 4 answers
  • What will you as MyData representative ask the EU committees to change in the current GDPR regulation? see 3 answers
  • How do you see the relationship between us and the tech giants (e.g. GAFA, Chinese giants) developing in the upcoming years? see 5 answers
  • What about selling and monetisation of personal data, what is your view? see 5 answers
  • What are the values that you hold as non-negotiable? see 10 answers
  • What are your favorite metaphors for (personal) data? see 10 answers
  • Do you believe ‘MyData’ needs to be/ can become a brand known to the mass market of individual’s; or can objectives be met without that? see 7 answers
  • What is the mid to long term vision of MyData? see 4 answers
  • What is your favorite book / publication in the field of MyData? see 1 answer
Questions in Leadership-Elections channel

Viivi started a new channel this week to get to know our leadership candidates in advance of the election. This post summarizes the questions asked and links to the respective answers on Slack:

  • How did you first learn about & get involved with MyData? see 14 answers
  • What is your most significant achievement related to MyData? see 11 answers
  • What are the three leverages that will make MyData really happen in the very coming years? see 5 answers
  • Could you elaborate on your intra organizational skills and experiences? see 5 answers
  • Name one thing that MyData Global as an organisation should do to make sure we make it right? see 26 answers
  • What it means in practice for us to be global and do you see some cases where it would be justifiedto be less global? see 9 answers
  • How do you see the roles, responsibilities and rights of the Board and Steering committee members, the Staff, individual and organizational members plus the hubs? see 5 answers
Test-driving a couple of ideas

What’s your first reaction to the twin claims that super-human, bias-free AI (let alone AGI) is not a) morally optimal nor b) possible? (The two claims are separate but linked. The issue at hand is whether we should try to get rid of bias and hence: a) is it morally imperative to get rid of bias and b) is it even possible to get rid of it.)


eszköz
Zoom

Dataethics.eu about Zoom: “Many are using Zoom, a US start-up with no specific privacy-focus, and a very complex privacy policy, and thus we can not recommend it.”