Topic: Energy

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Platform 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.