Human Augmentation SIP

(JuriyJ) #1

Part 2 – Human augmentation technologies


performance gains equal to or better than drugs or surgery. This is where understanding
human genomics and epigenomics at the individual level is absolutely essential – it is not
‘one size fits all’ and is not dissimilar from the concept of ‘personalised medicine’; in other
words the right drug, at the right dose, to the right person at the right time.

Collection and analytics.  Devices that track movement, heart rate, oxygenation levels
and location are already commonplace and will become increasingly accurate and
sophisticated, making it possible to gather an increasingly wide array of performance data
in real time. We can also analyse data in ways that were impossible even five years ago.
Artificial intelligence can analyse massive sets of information almost instantaneously and
turn it into products that can inform decision-making. This marriage of data collection and
analytics is the foundation of future human augmentation.

Section 2 – Optimisation methods


Getting the basics right


High-end augmentation will be important, but getting the basics right can, in many cases,
deliver significant improvements for less cost and at lower risk. Using high-end human
augmentation technologies to mitigate avoidable performance shortfalls is a poor use
of resource and could undermine motivation and professionalism. The precise effects
of nutrition, sleep and hydration, and their relationship with one another, is not well
documented but we know there is untapped potential. One example is the link between
physical exercise and improved cognition; this phenomenon has been known for some
time, but it has only recently been possible to precisely understand the science behind
it. Improved monitoring technology will make it possible to tailor the benefits of nutrition,
sleep and other fundamentals to each person, leading to significant improvements to
an organisation at low cost and limited ethical risk. While we are only just beginning to
understand how improved monitoring could increase performance there appears to be
significant potential. Illustrative optimisation methods are shown in Figure 3.

Figure 3 – Illustrative optimisation methods

Cognitive
training

Physical
training

Optimised
hydration

Personalised
training
Personalised
education

Dietary
supplements

Personalised
nutrition

Sleep
optimisation
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