AI and Inclusion versus AI and Assistance.

Over the last few months we have been debating what inclusion means to us all and how AI and machine learning can help.

There have been many ways in which we have seen the assistive side of the technology and how it can be used with apps that support speech technologies, image recognition and automatic captions.  These assistive technologies have benefitted us all but, what about the barriers that could be removed to make it even easier for people to feel included?

equity rather than equality
A picture illustrating the concepts of equality, equity and justice.

Courtesy Advancing Equity and Inclusion: A guide for municipalities, City for All Women Initiative (CAWI), Ottawa

Areas such as digital accessibility, augmentative and alternative forms of communication (AAC)  and AI in education, are just a few of the subjects we have been exploring.  

If you are surfing the web using a screen reader, and it fails to work because text descriptions for images or labels on forms have been omitted you may well be unable to complete the task in hand.  However, alternative text can be generated automatically using image recognition and if the text around that image is explored in more detail, there is a chance that the accuracy of the alternative text can be improved with more contextual information.  If people don’t consider accessibility when developing web sites and their content we need many more machine enabled accessibility checks that actually work effectively without too many false positives or negatives.  Then we need the automatic fixes to make sense of these barriers!

If someone with a communication difficulty who uses symbols wants to join a conversation where everyone is talking at a rate of 150 plus words per minute it is hard to compete only managing around 10 – 12 words per minute.  It should be possible to speed input with better forms of prediction and language correction when users need to choose symbols. Once again context sensitivity could help.

Why can’t we also make symbol sets interchangeable so that users who work with one set of symbols are not dependent on the text translation to work with other AAC users – the ability to harmonise symbol sets with some standardisation should be possible – maybe image recognition and better use of natural language processing could help.

A conference with the ED-ICT network will hopefully result in discussions around the support AI could provide in education. Several AI technologies have been mentioned in international reports that could have an impact on some of our students when coping with the barriers of day to day life in universities. Could the better use of natural language processing further improve automatic captioning for lecture capture and provide more accurate search results when looking for academic papers, Biometrics and Blockchain in Education could offer enhanced security for aspects of our management systems and assessments perhaps allowing better supporting strategies for those who benefit from remote access. i feel these aspects of inclusive education need more research to support disabled students.

Global Accessibility Awareness Day (GAAD) 2019

easy to read logo

To celebrate the Global Accessibility Awareness Day, the European Disability Forum made their report “Plug and Pray – A disability perspective on artificial intelligence, automated decision-making and emerging technologies (Accessible PDF)” available to all. As the team had some involvement with the report it is exciting to see it now in print and in an Easy to Read version.

Some conclusions of the report include:

  • Teams working on new technologies are not diverse enough. Industry needs to assure that their teams reflect diversity of general population; 
  • Accessibility and principles of Universal Design should be part of the curricula when teaching design, computer sciences, user experience and other related subjects.
  • Organisations of persons with disabilities and organisations working on digital rights need to work closer together. “

But as Shadi Abou-Zahra said in the latest EDF news letter on the subject of ‘Technology is for People, Not the Other Way Round’

” As technology continues to evolve at lightning speed, we also see the opportunities and challenges continue to multiply. A friend of mine was recently using a mobile app that uses artificial intelligence techniques to recognise objects and text in front of the camera. He was using it to orient himself in a hotel he had just checked into. The app explained the layout of the hallways and read out the door numbers on the signs so that he could find his room as a blind person traveling alone for business. This is mind blowing considering that mainstream deployment and use of artificial intelligence is only in its early stages.”

There will be more presentations and discussions around AI and Inclusion at the AAATE 2019 Conference on Global Challenges in Assistive Technology Research, Policy & Practice 27 – 30 August, Bologna (Italy)

AI and Digital Accessibility

Microsoft held an evening at the London on March 28th where the invitation to the event encouraged us to believe that:

“With the advancement in conversational intelligence, Deep learning, and Reinforcement learning, Artificial Intelligence has the potential to revolutionize the way we live and interact with our surroundings. AI for accessibility is taking leap[s] into the realm of opportunities and changing people[s’] lives for better.”

London – Microsoft Data & AILive stream on YouTube

It proved to be an interesting evening where Microsoft demonstrated how their Office products embed AI and accessibility within the process of developing documents. They offer automatic image labelling, accessibility checks, captioning and translations alongside supporting apps useful in many settings. Examples include Seeing AI (a smart phone app) providing information about the world around us via the camera with speech output and We Walk a smart cane that helps those who have visual impairments avoid obstacles. Virtual and augmented reality, haptics and working to support and support for those with hearing impairments were on show.

electronic wheelchair user

Companies showcased their applications throughout the evening and there was a fascinating presentation about wheelchair control via eye tracking from Professor Aldo Faisal (Imperial College)

Interestingly innovative AI ideas for those with cognitive impairments such as learning disabilities were not high on the agenda and yet many of the innovations in this area can also help those with dementia and stroke when communication can be affected.

Professor Clayton Lewis has written a White Paper for the Coleman Institute for Cognitive Disabilities on “Implications of Developments in Machine Learning for People with Cognitive Disabilities” He discusses a roadmap, with many of the strategies we have been collecting. Examples include making text easier to understand, the use of Natural Language Processing (NLP) for text simplification and clarification, visual assistants using image recognition to detect issues occurring in the home with chatbots to assist with problems and ideas around brain connected systems. As with many authors, Professor Lewis reflects on issues around ethics, security and privacy, the lack of disability specific data and algorithms and includes these thoughts under policy projects. But he also stresses that:

…we may expect continued progress in deep learning, as well, perhaps, as significant new ideas. Besides awaiting (and encouraging) these developments, our community should consider how more limited capabilities may be useful in the applications important to us.

At the end of April 2019 there was a short holiday period and as a wonderfully instructive and interesting read that explains all things AI to the non-mathematician, Associate Professor Hannah Fry’s ‘Hello World: Being Human in the Age of Algorithms‘ proved to be a good option! Associate Professor Fry has been interviewed about the book by Demetri Kofinas (YouTube) and this video introduces some of the ideas she explains.

IBM Project Debater

IBM say that that “Project Debater is the first AI system that can debate humans on complex topics. The goal is to help people build persuasive arguments and make well-informed decisions.” They showcased a fascinating debate on pre-school subsidies with experts and a live audience in San Francisco. Project Debater won the argument!

Project Debater has a very clear synthetic female voice and puts together enormous amounts of data about a subject and presents it in a very succinct way that makes perfect sense.

One wonders how this system could perhaps be used to work with those who need to be encouraged to have conversations and like to use technology rather than face humans in a debate. Also to help with practicing debating skills when social behaviour skills need encouraging and shyness needs to be overcome. The system could possibly help those with cognitive disabilities understand issues and be trained to allow more time between statements, perhaps to slow down a little and to use easy to comprehend language. Lots of ideas to think about and IBM have provided more information on how the project works.

NHS gets AI code of conduct

doctor with board, heartbeat and swipe card

The Department of Health and Social Care has published an updated Code of conduct for data-driven health and care technology with a reorganised set of principles that are easier to read. Austin Clarke says that:

“The code encourages technology companies to meet a gold-standard set of principles to protect patient data to the highest standards. It has been drawn up with the help of industry, academics and patient groups.

The aim is to make it easier for suppliers to develop technologies that tackle some of the biggest issues in healthcare, such as dementia, obesity and cancer. It will also help health and care providers choose safe, effective and secure technology to improve the services they provide.”

The 10 Principles are as follows:

The principles