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Robotics and artificial intelligence in social care. Friend or foe; - - PowerPoint PPT Presentation
Robotics and artificial intelligence in social care. Friend or foe; - - PowerPoint PPT Presentation
Robotics and artificial intelligence in social care. Friend or foe; what does the future hold? Social care; now and in the future. Now. Workforce turnover rate is now an average of 30.7% There are 110,00 vacancies (8%) at any one
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Now….
- Workforce turnover rate is now an average
- f 30.7%
- There are 110,00 vacancies (8%) at any one
time.
- 25% of workers are employed on zero hours
contracts.
- Projected additional social care posts
needed by 2035 is 950,000
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Now.
- The population in the UK is getting older with
18% aged 65 and over and 2.4% aged 85 and over (2016)
- In 2016 there were 285 people aged 65 and
- ver for every 1,000 people aged 16 to 64
years (“traditional working age”)
- About 15 million people in the UK have a
long term condition.
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- Long-term conditions are more prevalent in
- lder people (58 per cent of people over 60
compared to 14 per cent under 40)
- 1 in 8 adults (around 6.5 million people) are
- carers. By 2037, it's anticipated that the
number of carers will increase to 9 million
Now…
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.
Doing things differently seems to be not an
- ption but a necessity ????
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‘The Emerging use of Artificial Intelligence and Robotics in Social Care’
https://www.skillsforcare.org.uk/Documents/Topics/Digital-working/Robotics- and-AI-in-social-care-Final-report.pdf
Skills for Care; what does new technology mean for the workforce?
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- PAR ; Physically Assistive Robots
- SAR; Socially Assistive Robots
- CAR; Cognitive Assistance Robots (an emerging
area of work)
- Machine Learning.
Typology; a broad categorisation of the types of AI and robotics emerging.
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- Explores the literature in the context of AI and
robotics and their uses in social care.
- Explores what is currently happening with the use
- f this technology
- Outlines the workforce issues that might occur as
it’s usage rises. This evidence review ;
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Key findings
- The evidence base demonstrating the
effectiveness of AI and robotics in supporting care provision is relatively under- developed
- Barriers for growing the use of AI and
robotic systems include cost and a lack of understanding or even antipathy within the sector to their introduction.
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Key Findings.
- A notable gap in the evidence base relates
to any assessment of the routes to market for the range of assistive robots that have been developed and piloted over the last decade.
- Little evidence thus far on workforce
implications.
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Our speakers today; Professor Praminder Caleb-Solly. Professor Gurch Randhawa. Professor Luc De Whitte. This report acts as a discussion point for our sector.
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Event agenda
- Introduction
- Brief presentation by each of our speakers.
- Questions to speakers
- Discussion in groups
- Large group feedback with key messages
- Coffee and tea; help yourself!
- Slides available after the event.
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