Publications

While the inadequacies of our existing assistive technology systems, policies, and services have been highlighted by the acute and rapidly changing nature of the COVID-19 pandemic, these failures are also present and important during non-crisis times. Each of these actions, taken together, will not only address needs for more robust and resilient systems for future crises, but also the day-to-day needs of all assistive technology users. We have a responsibility as a global community, and within our respective countries, to address these inadequacies now to ensure an inclusive future.

This paper starts by synthesising how AI might change how we learn and teach, focusing specifically on the case of personalised learning companions, and then move to discuss some socio-technical features that will be crucial for avoiding the perils of these AI systems worldwide (and perhaps ensuring their success). This paper also discusses the potential of using AI together with free, participatory and democratic resources, such as Wikipedia, Open Educational Resources and open-source tools. We also emphasise the need for collectively designing human-centered, transparent, interactive and collaborative AI-based algorithms that empower and give complete agency to stakeholders, as well as support new emerging pedagogies.

The informational needs of people are highly contextual and can depend on many different factors such as their current knowledge state, interests and goals [1, 2, 3]. However, an effective information retrieval companion should minimise the human effort required in i) expressing a human information need and ii) navigating a lengthy result set. Using topical representations of the user history (e.g. [4]) can immensely help formulating zero shot queries and refining short user queries that enable proactive information retrieval (IR). While the world has digital textual information in abundance, it can often be noisy (e.g. extracted through Automatic Speech Recognition (ASR), PDF text extraction etc.), leading to state-of-the-art neural models being highly sensitive to the noise producing sub-optimal results [5]. This demands denoising steps to refine both query and document representation. In this paper, we argue that Wikipedia, an openly available encyclopedia, can be a humanly intuitive knowledge base [6] that has the potential to provide the world view many noisy information Retrieval systems need.

We are now in an era of assistive care and assistive living—whereby many people, of all ages, in good health, and those who are more frail, or with cognitive or functional impairments, are using a broad range of technologies to assist and enhance their daily living. Assistive living¹ is becoming an important part of population health and rehabilitation, which can help to maximise an individual's abilities, regardless of age or functional capacity. This encouraging shift in ethos has been strengthened by the response to the COVID-19 pandemic, in which a plethora of digital and remote technologies have been used.

It is clear from the events of the last 18 months that while technology has a huge potential for transforming the way we live and work, the entire ecosystem—from manufacturing to the supply chain—is vulnerable to the vagaries of that ecosystem, as well as having the potential to exacerbate new and existing inequalities [1]. Nowhere has this been more apparent than in the lives of people with disabilities, who make up around 15% of the world’s population and already face barriers to accessing education, employment, healthcare and other services [2]. Some of these barriers are a result of unequal access and opportunities. However, there is a growing movement to better understand how assistive technology systems and services can be designed to enable more robust and equitable access for all. As part of this growing movement, the Paralympic Games in Tokyo this autumn saw the launch of a new global campaign to transform the lives of the world’s 1.2 bn persons with disabilities: the ‘WeThe15’ campaign reached more than 4.5 billion people through its marketing and stands ready to be the biggest of its kind in history. Next year, the World Health Organization (WHO) and the United Nations Children’s Fund (UNICEF), AT scale and GDI Hub will publish the first World Report on Access to Assistive Technology, which will include research from the £20 million, UK Aid funded, GDI Hub-led, programme, AT2030. Ahead of that, in this Special Issue, we focus on how some events and situations—as diverse as the coronavirus pandemic and the Paralympics—can act as ‘critical junctures’ that can enable a rethink of the status quo to facilitate and promote change.

GReAT, but do we care?

If accessible, assistive technology would be life changing for a billion people across the world today – and two billion people in 2050 (WHO, 2018). It would make the difference between independence and dependence, inclusion and exclusion, life and death. It holds the potential to improve and transform health, education, livelihood and social participation; fundamental human rights everyone is entitled to. And if we are lucky to grow old, the chances are that we all would use assistive technology by then. But do we care?