2.2 System Usability and Reliability
While smart phones and tablets have simplified ICT
usage, other aspects, in addition to costs, stop older
people using them easily, including a lack of
confidence, a lack of social and technical support in
using them from ICT buddies, and the fear of
breaking them or rapid redundancy.
As organizational systems, both in the public and
private sectors, become increasingly based on ICT,
older people never trained or with no access to the
technology become increasingly excluded. They must
rely on their children or paid help e.g. digital tax
declarations in Greece. So, although services overall
may be more efficient and better, many older people
become marginalised and more dependent on others.
Older people with cognitive problems and cognitive
decline also become increasingly excluded.
What about those who do not wish to use ICT? Do
they get excluded as citizens if they refuse to use the
technology? Technologies which contribute to
infantilizing or disabling the older person rather than
supporting him/her, and those taking away or
supporting a maximum degree of their autonomy are
unhelpful. There is also a kind of risk associated with
misuse: if the user relies very much on technology,
there comes a point when s/he is basically giving up
certain of his/her abilities and skills: laziness is a risk
with physical and mental consequences.
2.3 Justice, Fairness and Inequality
ICT and AI generate new ethical problems for
societies that add to existing moral and value
dilemmas for humans. There has been a large increase
in many EU countries in economic inequalities
(Eurostat 2018) since the 1980s. Many older people
are particularly aware of this, making them more
sensitive to the insecurities faced by younger
generations and local communities. AI and robots are
displacing human workers in many jobs. On line
shopping, for example, kills many local shops and in
some areas, this leads to a reduced sense of
community and jobs available for their families and
neighbours. (Knowles, Hanson 2018) Supermarket
check outs in many countries require the shopper do
the work of checking out their purchases. Banking is
increasingly on line requiring less paid workers in the
community.
Thus, older people are right to point to the uneven
gains that accumulate in the development of new
technologies which leads to their hesitation about
their easy and unproblematic adoption. Growing
economic inequalities, greater job insecurity, tax
avoidance, with their impact on relative wages and
thus social risk, are issues that are being discussed,
though not necessarily acted on, at a very high level.
(World Economic Forum, 2019). We do not know
what the implications are for the future, until now
perhaps risks have affected the more vulnerable, but
AI and ICT will be continuously disruptive for
organizations and jobs. However, they also offer the
possibility that ICT/AI-human interaction will
improve, that ethical issues for citizens concerning
the relationship between AI and humans are
confronted and that citizens become increasing co-
advisors in research and development (Stallcatchers,
2018). Some forms of AI will impact on the care and
support of dependent older people, and this will
require communities of practice which will be in
consultation with older people and their carers.
Ethical issues include what is to be done when people
no longer have good cognitive capacities impacting
on their legal capacities to make decisions. Perhaps
AI will be better at making some kinds of ethical
decisions concerning self-determination than self-
interested, tired and irritable humans? However urban
living, the increasing indication of isolation and
loneliness - perhaps especially though not exclusively
among older people, - suggests that technology, while
able to help in some respects, cannot replace human
care and human contact, and what I believe we all
need – a physical touch and hand to encourage,
reassure, comfort and support us. Even if AI turns out
to be better at diagnosis and some kinds of treatment,
the human support people need when in crisis and
pain cannot be replaced by Facebook, robots, AI and
its likes - though there is a role for these too.
Health technologies for monitoring health conditions
e.g. heart, kidneys, ultrasound, are often developed in
the private sector e.g. Apple Watch, with high costs
for purchase or subscriptions, suggesting that
inequities in accessibility to health care could become
worse for the poorer in the community unless a NHS
underwrites their cost as a way of improving public
health and decreasing acute and long term care costs.
3 MONITORING
3.1 Privacy and the Ownership of Data
Common problems that face us all, including older
people, concern privacy in the use of our data.
Technology to aid older people e.g. Remote
Monitoring, Mobile Health Monitoring, leads to
issues such as who owns the data when collected from
individuals and sent to manufacturers, health and care
services. Reports on AI in the healthcare sector
(Maddox T., Rumsfeld J.S, Philip R., Payne O, 2019)
ICT4AWE 2019 - 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health
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