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PR by Robots and Artificial Intelligence
Jean Valin APR FCPRS LM
@JeanValin1
In a nut shell
AI in PR Now
Research
Content
Evaluation
Work processes
Implications
McKinsey Global
Institute says: 5% of
occupations could be
100% automated. 60%
of occupations could
have 30% of tasks
automated
Google’s AI can now lip
read better than
humans after watching
thousands of hours of
TV
We're closer to robots than you think. Intelligence could be the
product of a basic algorithm. Robots don’t need to be perfect.
They just need to be better than humans.
Where are we now?
Facts and figures about AI and automation
Almost all have access to computing device (WEF)
AI market in analytics, content creation set to grow from
$4.5 billion in 2014 to $9.2 billion in 2019 (IDC, 2016)
Potential to boost labour productivity by up to 40%
(Accenture, 2016)
But jobs, including in professions under threat (Sunday
Times, 5th Feb 2017)
Bank of England estimate 80 million jobs are at risk in
USA,5 million jobs in trucking alone
What is on the market
now?
‘Professional	services	generally	rely	on	a	lot	of	data	and	
informa4on,	and	a	rela4vely	small	amount	of	judgment.	This	
makes	them	ripe	candidates	for	the	applica4on	of	machine	
intelligence.	In	fact,	professional	services	may	turn	out	to	be	more	
suited	to	automa4on	than	menial	factory	or	household	labour.’		
	
Michael	Cross,	The	Role	of	Ar+ficial	Intelligence	in	Law	
Raconteur,	(19	February	2015)
Second generation AI, beyond robotics
How will it affect us?
How is this impacting on PR?
Audience Research
How is this
impacting on
PR?
Influencer and
topic research
N e t w o r k m a p s u s e d t o
i l l u s t r a t e h o w v a r i o u s
influencers, journalists and
sub-topics interrelated.
Granular understanding of the
media landscape, who and
what is driving conversation.
Influencer Network Analysis
Commsmetrics for
•  Interactive Dashboard enables further
interrogation of data.
•  Clear understanding of the
Organisation/influencer roles in any
topic/theme.
•  Further interrogation of specific
influencer roles.
•  Identification of Influencers and the
relationship to other topics and
influencers in the network.
•  Access more information on
Influencers via links to media
coverage, LinkedIn and Wikipedia.
Dashboard presentation
The output of the influencer analysis can be organised in
different ways. Includes human-led sentiment analysis to all
influencers and categorise them accordingly, providing
decision ready intelligence for communications planning
and media outreach.
Sentiment
analysis
Content
Evaluation
Thank you
Stephen
Waddington
Process. Workflows, campaigns
and everything
Automation is happening now
Your internet
footprint. Digital
DNA.
Nature of identity is
changing
Cyber security
Algorithmic
determinism
Fake news
Fake sites
Implications of all this?
Threat to traditional jobs (17%? 40%?)
Cost of prediction reduced
New thinking about how we add value
Organisations have choices, which is the
‘right’ one?
Judgement and emotional intelligence- our
bright light
People at the centre, so people and values
first
The ethical guardian role at last?
Implications for the PR profession
Purpose of our profession?
Will AI redefine our role? Organisational forms will
change.
What education will prepare us for that future
role?
What do we expect of entrants to the profession?
Digital intelligence, but values based.
What ethical codes will rule us and our automated
agents? Role of regulators?
Big questions for us
With special thanks to
Anne Gregory,
Alastair MacCapra,
David Phillips,
Stephen Waddington
Twitter:
@JeanValin1
Cprs illuminate 2017 ai pr pdf

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