Tag: brAInfood

brAInfood: How do you feel about data collection in the public domein?
brAInfood: How do you feel about data collection in the public domein?

We recently published our new monitor, where we asked 1682 Flemish people how they stand on data-driven technologies in the public space. This brAInfood summarises the main results.

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brAInfood: How is the AI lifecycle regulated?
brAInfood: How is the AI lifecycle regulated?

In this brAInfood, we highlight various regulatory regimes which should be taken into account at different stages of the lifecycle of an AI system in a practical overview.

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brAInfood: What can you do to ensure workability with AI in the workplace?
brAInfood: What can you do to ensure workability with AI in the workplace?

In this brAInfood, we explore the importance of employee engagement for successful AI technology adoption.

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brAInfood: What are data vaults and what can they mean to you?
brAInfood: What are data vaults and what can they mean to you?

In this brAInfood, we elaborate on the tasks and organisation of Athumi under its founding decree. We discuss the provision of personal data vaults and SOLID.

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brAInfood: How does the Instagram Explore page work?
brAInfood: How does the Instagram Explore page work?

In this brAInfood, you can read more about which AI technology determines what your Instagram Discover page looks like and how you can have a say in what it looks like.

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brAInfood: What do you think about smart technologies in your home?
brAInfood: What do you think about smart technologies in your home?

Smart home technologies are largely present in our households. How exactly do these technologies work, how do they handle your data and what are the consequences for your privacy?

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brAInfood: How do you make a success of data- and AI-driven innovations in your organisation?
brAInfood: How do you make a success of data- and AI-driven innovations in your organisation?

What are important points of attention in change processes when data-driven innovations or AI are implemented in an organisation? In this brAInfood, we explain why it is important to give employees a voice and a fundamental role and let them actively participate in such a change process, and how you can do this.

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brAInfood: Insight into future EU legislation on data and algorithms
brAInfood: Insight into future EU legislation on data and algorithms

Data Governance Act, Digital Services Act and Digital Markets Act: overview of key concepts, potential impact and the obligations.

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brAInfood: AI in education, how does it change a learning environment?
brAInfood: AI in education, how does it change a learning environment?

Which AI systems are used in education and what are the results? Who is (in)directly involved in the development and use of those systems, and with what data are they fed? Read more about it in this brAInfood, along with what you as a teacher can do with AI and what you should pay attention to.

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brAInfood: How can technology support workers?
brAInfood: How can technology support workers?

In this brAInfood, we look at 'operator assistance technologies': what are they and how valuable are they?

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brAInfood: What happens to your data after your death?
brAInfood: What happens to your data after your death?

In this brAInfood you will find out how you can ensure that your next of kin can access your digital data after your death, if you wish, of course.

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brAInfood: What about fairness & AI?
brAInfood: What about fairness & AI?

Does the computer give you the job you deserve? AI systems that make important decisions for you can sometimes reaffirm existing biases. By applying fairness notions, developers can address this. We introduce some of these notions to you.

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brAInfood: Important copyright considerations related to text-to-x generators
brAInfood: Important copyright considerations related to text-to-x generators

In this brAInfood, we provide a brief introduction to text-to-x generators and explain some legal considerations in terms of copyright

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brAInfood: How to recognise AI in the workplace?
brAInfood: How to recognise AI in the workplace?

In this brAInfood, we highlight the different aspects and principles to verify whether an AI system is reliable.

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brAInfood: How to develop responsible systems?
brAInfood: How to develop responsible systems?

In this brAInfood, we take a closer look at the competency model "What qualifications are needed to develop responsible systems?".

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brAInfood series goes international
brAInfood series goes international

The brAInfood series is being translated into several languages thanks to CLAIRE. You can read more about it in this blog post.

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brAInfood: What about cookies?
brAInfood: What about cookies?

In this brAInfood, you will learn more about cookies, and how to make a cookie policy more understandable.

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brAInfood: Is your AI system forbidden?
brAInfood: Is your AI system forbidden?

In this brAInfood, you can check whether your AI system is forbidden according to the AI Act or not.

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brAInfood: Will you join a Datawalk?
brAInfood: Will you join a Datawalk?

In this brAInfood you can read more about the setup of a Datawalk and take a look at some examples of data hubs that you can encounter in the city.

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brAInfood: Possible legal restrictions on the use of data
brAInfood: Possible legal restrictions on the use of data

In this brAInfood, we take a closer look at the possible legal restrictions you may encounter when using data.

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brAInfood: Industry 1, 2, 3, ... 4.0
brAInfood: Industry 1, 2, 3, ... 4.0

In this brAInfood, we explain more about Industry 4.0.

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brAInfood: How to take care of digital inclusion?
brAInfood: How to take care of digital inclusion?

In this brAInfood, we will look at how you can take digital inclusion into account in the development of your new product or service.

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brAInfood: Mobility as a Service, a new mobility model with data as the raw material
brAInfood: Mobility as a Service, a new mobility model with data as the raw material

In this brAInfood, we take a closer look at Mobility as a Service, a new mobility model based on data.

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brAInfood: Do you also measure your health?
brAInfood: Do you also measure your health?

In this brAInfood, we take a closer look at fitness trackers. What do they do? What to pay attention to when using fitness trackers?

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brAInfood: What does transparent AI mean?
brAInfood: What does transparent AI mean?

In this brAInfood, we briefly explain a number of types of transparency, and how best to tackle that balancing act between too little or too much transparency.

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brAInfood: What are deepfakes?
brAInfood: What are deepfakes?

In this brAInfood you will learn more about deepfakes with some examples and tips on how to recognise them.

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brAInfood: Algorithmic news selection
brAInfood: Algorithmic news selection

This brAInfood explains what the risks of algorithmic news selection are and how you and the news media can counter them.

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brAInfood: Strategies to protect your privacy
brAInfood: Strategies to protect your privacy

In this brainfood, we provide some general tips and tricks you can take into account if you want to make your data more secure against all-comprehensive surveillance by companies or governments and/or all your data being made publicly available by a single data leak.

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brAInfood: Data protection and chatbots
brAInfood: Data protection and chatbots

This brAInfood explains some points of attention regarding chatbots, and gives youngsters a number of tips to better protect their (personal) data.

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brAInfood: What obstacles hinder the sharing of ANPR data in Belgium?
brAInfood: What obstacles hinder the sharing of ANPR data in Belgium?

This brAInfood exposes potential issues of data sharing using a sample case on ANPR (Automatic Number Plate Recognition).

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brAInfood: 2 popular services that use machine learning algorithms
brAInfood: 2 popular services that use machine learning algorithms

This brAInfood is about algorithms for machine learning, illustrated by two popular services (Netflix and navigation apps) who make use of these algorithms.

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brAInfood: How to explain the decisions made by an AI system?
brAInfood: How to explain the decisions made by an AI system?

This brAInfood gives you more information on explainability and AI.

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brAInfood: Data protection and voice assistants
brAInfood: Data protection and voice assistants

This brAInfood presents a number of concerns related to the privacy and data protection of voice assistants.

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brAInfood: Is my technology behaving 'ethically'?
brAInfood: Is my technology behaving 'ethically'?

This brAInfood presents a questionnaire for users of AI technology to determine for themselves whether an AI system is behaving ethically or not.

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brAInfood: Who is liable for a self-driving car accident?
brAInfood: Who is liable for a self-driving car accident?

This brAInfood summarises complex legal challenges on liability for damage caused by self-driving cars.

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brAInfood: Are you an artificial intelligence expert?
brAInfood: Are you an artificial intelligence expert?

What do you know about artificial intelligence? Are you an expert or a novice? Take this quiz and find out!

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brAInfood: What is legal sandboxing for AI?
brAInfood: What is legal sandboxing for AI?

This brAInfood discusses the topic of 'legal sandboxing' for artificial intelligence (AI) in more detail, as mentioned by the High-Level Expert Group on Artificial Intelligence (AI HLEG) of the European Commission in the document 'Policy and Investment Recommendations for Trustworthy AI'.

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brAInfood: How ‘trustworthy’ is artificial intelligence?
brAInfood: How ‘trustworthy’ is artificial intelligence?

A brAInfood that describes the 7 requirements of AI from the AI HLEG and formulates a number of questions that help you to think about the reliability of your AI system.

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brAInfood: How to survive a conversation about artificial intelligence?
brAInfood: How to survive a conversation about artificial intelligence?

This brAInfood summarizes 8 concepts that often occur in conversations about artificial intelligence. Once you have read and mastered these 8 concepts, you will be able to have and/or follow a basic conversation about artificial intelligence.

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brAInfood: How would you describe artificial intelligence?
brAInfood: How would you describe artificial intelligence?

In this first brAInfood, we discuss how you can describe the term 'Artificial Intelligence' when writing about it.

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