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Human Augmentation
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1Quantum Revolution& Advanced AI2HumanAugmentation3Eco-Regeneration& Geo-Engineering4Science& Diplomacy1.11.21.31.42.12.22.32.43.13.23.33.43.54.14.24.34.44.5HIGHEST ANTICIPATIONPOTENTIALAdvancedArtificial IntelligenceQuantumTechnologiesBrain-inspiredComputingBiologicalComputingCognitiveEnhancementHuman Applications of Genetic EngineeringRadical HealthExtensionConsciousnessAugmentation DecarbonisationWorldSimulationFuture FoodSystemsSpaceResourcesOceanStewardshipComplex Systems forSocial EnhancementScience-basedDiplomacyInnovationsin EducationSustainableEconomicsCollaborativeScience Diplomacy
1Quantum Revolution& Advanced AI2HumanAugmentation3Eco-Regeneration& Geo-Engineering4Science& Diplomacy1.11.21.31.42.12.22.32.43.13.23.33.43.54.14.24.34.44.5HIGHEST ANTICIPATIONPOTENTIALAdvancedArtificial IntelligenceQuantumTechnologiesBrain-inspiredComputingBiologicalComputingCognitiveEnhancementHuman Applications of Genetic EngineeringRadical HealthExtensionConsciousnessAugmentation DecarbonisationWorldSimulationFuture FoodSystemsSpaceResourcesOceanStewardshipComplex Systems forSocial EnhancementScience-basedDiplomacyInnovationsin EducationSustainableEconomicsCollaborativeScience Diplomacy

Debate 3:

The Pulse of Society on Frontier Issues

Human Augmentation

The discussions around the scientific fields related to Human Augmentation (Cognitive Enhancement, Human Applications of Genetic Engineering, Radical Health Extension and Consciousness Augmentation) were picked up very differently across continents. Relative to the other three frontier issues, the analysed scientific topics have the strongest bias towards North America, older age groups and positive sentiments.

Key Facts and Insights

  • The discussion is strongly focused around age groups 55-64 in North America and Europe; younger groups dominate in Africa, Latin America and Asia.

  • Human Augmentation is seen primarily positively with the strongest scepticism in Europe and around mRNA vaccines

  • The discussion taking place in younger groups is more fragmented and neutral/negative (especially in Europe and North America) than that in the older age groups.

  • Interest in the age group below 34 years is focused on the promises of Brain-Computer-Interfaces (BCIs) and Human-Machine-Interfaces (HMIs) as a way to “augment” individuals

  • While the concerns in North America and Europe are mainly focused on the risks around the mRNA vaccines (experimental gene therapies), the concerns in Africa are focused on social inequality and conflict due to human augmentation, cyber threats to the body in Latin America and high costs of gene therapies in Asia.

Cloud and sentiment analysis

Each node representing one article and the linkages between dots show relations between topics in the analysed data.

Sentiment drivers

Positive sentiment is centred around:

  • Promise and reported success of the use of gene-based treatments for a multitude of diseases and conditions
  • Promise and prospect of using HMIs in business processes and consumer products (e.g. customer service, production facilities)
  • Prospect of using BCIs in a number of use-cases in both human augmentation and life prolongation
  • First successes in clearing legal/ethical hurdles with regards to the technologies in selected geographies (e.g. China, Chile)

Neutral/mixed sentiment is centred around:

  • Use of BCI/HMI for military applications as a “necessary evil”
  • Market reports on biotechnology growth prospects, partnerships and mergers & acquisitions

Negative sentiment is centred around:

  • Fear of losing mental autonomy through BCIs and HMIs bringing changes in brain plasticity and the proneness to cyber threats
  • Fear of institutions and authorities as mirrored in and conspiracy theories and the lively discussion about the “Great Reset”, “Experimental Gene Therapy” and Bill Gates
  • Fear of the COVID-19 Vaccination and the expedited approval process thereof As the insights show, the covid-19 pandemic, mRNA vaccines and announcements around Brain-Computer Interfaces strongly drove the discussions and were the main drivers for the strong regional and demographic differentiation.