AI Ethics

Checklists make everything better - including responsible AI!

Building a checklist to cover the six key areas of responsible AI can drive better outcomes and returns for your business. Start with the list of areas as a discussion aid and grow your checklist with use.

EU to recruit world-class AI researchers

While Europe is a global leader in academic research of human-centric artificial intelligence we lag behind when it comes to putting research into practice.

Ethical AI monitoring in the post-COVID workplace

With the excellent news of the first COVID-19 vaccines being administered in the UK, things could be back to normal by next winter. In the meantime, we must remain vigilant and take precautions such as monitoring temperatures, social distancing, and other health and safety measures, to keep the impact of the virus to a minimum. AI can help to enforce these safety precautions, however ethical conduct and compliance with data privacy regulations remain imperative.

European Commission selects Nightingale HQ to shape AI policy

The European Commission’s Joint Research Centre (JRC) and the European DIGITAL SME Alliance have come together to set up a focus group on AI which will shape policy and monitor the impact of AI adoption across the EU. We are excited to announce that Nightingale HQ have been selected to join the focus group, along with 100 other SMEs from across Europe.

Why Trustworthy AI Matters with Clare Dillon

Guest contributor on AIFightsBack last week was Technologist Clare Dillon. She presented A Journey to Trustworthy AI from an economic, social, political, and cultural lens. This thought-provoking session demonstrated clearly why we all need to build trust in both building and buying AI solutions. It was backed up nicely with plenty of use cases and several major AI bloopers out there.

A partnership of Machine Learning and AI with healthcare professionals

Healthcare has always been a data-rich area, but with new technologies for processing and structuring, and new ways of collecting data, such as using sensors, like many other industries, the available data is growing exponentially. Artificial Intelligence (AI) makes it possible to analyse all this data in real-time by combing Machine Learning (ML) and Natural Language Processing (NLP), in order to gain valuable insights.

Advanced AI techniques in retail that are making their jobs a breeze

Artificial Intelligence (AI) is already beginning to transform several industries, and it continues to divide opinions on whether it will transform our lives for good, for bad, or exaggerate existing divides by benefitting some and neglecting others. One of the areas where AI has been applied with extremely effective results is in retail, both online and off, and is a fine example of why AI can be simultaneously good and evil, highlighting the need for regulation.

Removing AI bias for better decision making

It is difficult to deny that humans make biased decisions. Unconsciously we all make choices that are based on prejudices and flawed associations. This bias that we introduce to our business decisions can trickle through entire organisations, from recruitment to market segmentation. AI, with its lack of consciousness, human experience and gut feelings, has the potential to remove bias from businesses, and yet all too often AI is found to exhibit the same biases that we do.