Questions to ask regarding Ethics in AI
From the way we stay informed to the way we make decisions, artificial intelligence (AI) is becoming ubiquitous in our economy and society. Naturally, it has reached our schools as well. ΑΙ in education is no longer a distant future. It is already changing the way schools, universities and educators work and our children learn. It is making educational settings more responsive by helping teachers address each learner’s specific needs. It is fast becoming a staple in personalised tutoring and in assessment. And it is increasingly showing its potential to provide valuable insights in student development. The impact of AI on our education and training systems is undeniable, and will grow further in the future. Read on...
UNESCO Member States adopt the first ever global agreement on the Ethics of AI In November 2021, the 193 Member States at UNESCO’s General Conference adopted the Recommendation on the Ethics of Artificial Intelligence, the very first global standard-setting instrument on the subject. It will not only protect but also promote human rights and human dignity, and will be an ethical guiding compass and a global normative bedrock allowing to build strong respect for the rule of law in the digital world. Read on here...
IBM on AI Ethics
What are AI ethics? Ethics is a set of moral principles which help us discern between right and wrong. AI ethics is a set of guidelines that advise on the design and outcomes of artificial intelligence. Human beings come with all sorts of cognitive biases, such as recency and confirmation bias, and those inherent biases are exhibited in our behaviors and subsequently, our data. Since data is the foundation for all machine learning algorithms, it’s important for us to structure experiments and algorithms with this in mind as artificial intelligence has the potential to amplify and scale these human biases at an unprecedented rate. Read on here...
EU Guidelines on Ethics in AI
The Guidelines put forward a set of 7 key requirements that AI systems should meet in order to be deemed trustworthy. A specific assessment list aims to help verify the application of each of the key requirements:
- Human agency and oversight: AI systems should empower human beings, allowing them to make informed decisions and fostering their fundamental rights. At the same time, proper oversight mechanisms need to be ensured, which can be achieved through human-in-the-loop, human-on-the-loop, and human-in-command approaches. Read on here...