Making sense of our connected world
Why explainable AI needs such a thing as Society
Explainable AI (XAI) frameworks focus strongly on individual interests, while a societal perspective falls short. The solution? An incorporation of collective interests in target group specific communication.
Deep fakes: the uncanniest variation of manipulated media content so far
Deep fakes are certainly not the first occurrence of manipulated media content. So what fuels this extraordinary feeling of uncanniness we associate with them?
Towards the Technological Pluriverse
How does the design practice of digital technology need to be fundamentally changed to create a more inclusive digital future? Adriaan Odendaal & Karla Zavala Barreda on creating the idea of technological pluriverse through board games.
How to identify bias in Natural Language Processing
Why do translation programmes or chatbots often contain discriminatory tendencies towards gender or race? Here is an easy guide to understand how bias natural language processing works.
Ethics of digitalisation: dialogue, participation & visions
What visions do we need to implement so that an ethics-led digitalisation of our society works for everyone? We take stock.
New toolkit collects easy tips for intersectional AI
Intersectional AI (IAI) is the key to greater inclusivity. It draws on practices of marginalised perspectives to fundamentally reshape the development, design and use of AI.
Governing AI: Political players between vision and regulation
Not only tech giants in Silicon Valley influence the development of artificial intelligence (AI): supranational political institutions, states and parties are also active leaders and regulators. They set legal standards, formulate strategies for the future, explore potentials and dangers, promote and sanction or even adopt controversial positions. How do political actors position themselves in the AI debate between economic interest, ethical controversies and the common good? Where do their strategies differ? Is politics here more of a driver or a driven force?
Algorithmic decisions and human rights
Who is responsible if an autonomous vehicle is involved in an accident? What are the consequences of automated profiling of the unemployed? How intelligent is our use of artificial intelligence, and what visions and strategies do we need for the future? Innovations in the field of artificial intelligence are impacting nearly every area of our everyday life. However, algorithmic decision-making leads to complex human rights implications. In this dossier researchers of the Humboldt Institute for Internet and Society and the NoC European Hub discuss the role of law and ethics in the context of algorithmic decision-making.
