Topic: Energy
Subscribe to EnergyPlatform Africa 2023: Our take-aways
July 11, 2023
Norton Rose Fulbright recently attended the Platform Africa 2023 conference in Marrakesh.
Climate change and sustainability disputes: Technology and innovation perspectives
July 05, 2021
The solutions to climate change and sustainability related issues offered by the Technology and Innovation sector.
Electric vehicles: Charging up the UK’s energy transition
June 18, 2021
Electric vehicles (EV) and EV-charging infrastructure will play an important role in the decarbonisation of the transport sector. In this context, Stephen Rigby recently spoke to Dan Kaufman, legal counsel at bp pulse.
SPAC Market Update
May 27, 2021
In this episode of the Currents Podcast we discuss the renewable energy SPAC market and explain why technology-focused companies are subject to de-SPACing.
Sustainability and impact: The role of technology
April 28, 2020
Over recent years, the importance of sustainability, environmental, social and governance (ESG) issues and the impact that companies have on the environment, individuals, and local and global communities has risen up the corporate agenda.
EU’s High-Level Expert Group on AI publishes Artificial Intelligence Ethics Guidelines
April 11, 2019
The Guidelines are the first deliverable under the European Union (EU’s) April 2018 Communication on Artificial Intelligence for Europe.
European Patent Office provides guidance on AI patentability
November 13, 2018
The European Patent Office (EPO) recently issued guidance on the patenting of artificial intelligence (AI) and machine learning (ML) technologies. What does this mean for businesses in the field?
The Database Directive, AI and the data economy
September 03, 2018
Does the Database Directive protect machine-generated data and AI? That is one of the questions the European Commission considered in its recently published second evaluation of the Database Directive.
Artificial Intelligence and the future of work
June 20, 2018
AI’s impact on the workplace is contingent on many variables - the level of employees’ education and training, the cost of the technology, its adoption rate, regulation, ethics and how far AI creates new jobs.