The use of AI in today's world

Artificial intelligence (AI) is already being used widely across different sectors, but how? Take a look at the diverse range below…

Business of law

• Generative AI can summarise judicial opinion, which currently must be checked for accuracy by a human
• Automation of routine tasks such as reviewing documents to extract information required, for example, in litigation (e-discovery platforms), or corporate due diligence
• Creating automated templates for low-complexity legal documents such as contracts
• Natural language processing (NLP) can be used in legal search engines, to translate plain language into text used for legal purposes. It’s also used to search for legal concepts as opposed to just keywords - assisting lawyers in legal research, plus analysing and processing documents in various languages

Finance

• Fraud detection and risk assessment – algorithms can identify suspicious transactions in real time
• Auto-trading platform
• Machine vision processes can detect counterfeit currencies and goods

Healthcare

• Imaging capabilities allow cancer identification and screening
• Early disease detection and predicting development of diseases with high accuracy
• Assisting with drug discovery 
• Analysing individual’s genes to create personalised treatment plans
• Helping deaf children learn to read by translating text into sign language

Environmental

• Monitoring changes of land surfaces, for example decreasing sea areas/ice caps, in order to determine future risks
• Monitoring pollution to design energy-efficient buildings
• Measuring and calculating environmental footprints of products across their full lifecycle, to enable consumers to make the most informed and sustainable decisions
• Sensors, microphones and cameras on bee hives generate data that is analysed by AI, to identify patterns and trends that could discover early interventions to help bees survive

Agriculture

• Monitoring, treating and planting crops
• Monitoring the health of soil
• Creating treatment plans for crops
• Analysing individual plants at the micro level
• Precise treatments

AI-powered automation and robotics 

• Autonomous vehicles 
• AI-powered autopilot systems
• Robots that are capable of working autonomously and interacting with its surrounding environment, including humans. Examples include Spot, Ai-Da (addressing the UK Parliament on 11 October 2022) and Ameca.