OPINION: The pro-Palestinian demonstrations on university campuses in the US and around the world have prompted fresh debates around policing, public order and people’s right to protest; Jess Reia, Assistant Professor of Data Science at the University of Virginia, argues that decisions over what constitutes urban disorder often target the most disadvantaged communities, and that deploying big data under the guise of enforcing public order can backfire.

INNOVATION: In the latest in a series of articles exploring how artificial intelligence (AI) can be used in policing, Chief Philip Lukens explores how AI can enhance and improve the services police provide without cutting workforces, and ensuring there is no damaging impact on public trust and legitimacy.

OPINION: Algorithms are used to predict the risk of criminal behaviour, drug use and reoffending in a number of countries (as well as being employed widely outside the criminal justice sector); but Associate Professor Tatiana Dancy of the University of Melbourne argues that decisions should only be taken – and penalties applied – on the basis of behaviour, not other physical, mental or social characteristics fed into predictive tools.

INNOVATION: Resource pressures, heavy workloads and improving service delivery are among drivers for policing to adopt machine learning algorithms to increase capacity and capability; but Research Fellow Hazel Sayer, machine learning specialist Dr Tamara Polajnar and Senior Research Fellow Dr Ruth Spence warn that key stakeholders need to be involved in determining the problem to be addressed, whether the algorithm is the right solution, and whether the force has the capacity to develop the technology and respond to its output.

LONG READ: Having explored the challenges and opportunities faced by policing in collating and analysing the huge growth in data sources – including the potential for technology to offer solutions, the skillsets required and the ethical concerns – what does law enforcement need to do to tackle these issues? In the last in the series of five features, Policing Insight’s Keith Potter spoke to police practitioners, stakeholders and specialists about the way forward.

OPINION: Policing is understandably keen to embrace the latest technology in its efforts to protect the public and fight crime; but Dr David Lydon, a former police officer and now Senior Lecturer in Policing at Canterbury Christ Church University, believes that the move towards technocracy inevitably threatens the service’s ability to operate a consensual model in line with the principles and features of traditional community policing.

LONG READ: The investigative opportunities and challenges offered to policing by the huge growth in digital data bring with them a much wider debate around the ethical use of such data, the importance of transparency and governance, and the need to ensure that policing maintains legitimacy with the communities it serves – issues which Policing Insight’s Keith Potter explores in the latest in a series features looking at the police use of data.

LONG READ: The difficulties policing faces around the scale and complexity of digital data are widely acknowledged, but what about the potential for new technology to overcome some of those challenges? In the second in a series of five features looking at the police use of data, Policing Insight’s Keith Potter looks at some of the ways new tech – including automation, artificial intelligence and machine learning – are being employed in both investigative and preventative approaches.

FEATURE: With the law enforcement use of artificial intelligence (AI) advancing quickly in the UK and internationally, the National Police Chiefs’ Council recently published a new Covenant for Using AI in Policing; Policing Insight’s Andrew Staniforth looks at the main principles in the document, and the wider guidance around the ethical, proportionate and transparent use of AI across criminal justice sectors.

OPINION: The final report into the long-running New South Wales (NSW) Police Suspect Targeted Management Plan – which targeted children and adults who the force believed could become repeat offenders – found the program to be ‘unreasonable, unjust, and oppressive’; NSW Police dropped the program having seen a draft copy of the report, and Dr Vicki Sentas, UNSW Sydney Senior Law Lecturer, argues that any replacement approach should take a lead from Indigenous community alternatives.

OPINION: Artificial intelligence is increasingly being used by New Zealand Police to identify, analyse and investigate criminals and criminal activity; but University of Auckland Associate Professor Alexandra Sims believes that new legislation and independent monitoring is needed to protect against the dangers of the erosion of privacy and algorithmic bias, and ensure compliance with existing frameworks and principles.

ANALYSIS: HM inspectors recently highlighted the concern that poor data gathering and analysis is affecting police performance management in England and Wales; Policing Insight’s Ian Weinfass looks at the issues involved and puts the spotlight on two of the forces that are getting things right.

INTERVIEW: As cybersecurity threats persist, Dr Reza Montasari, Senior Lecturer in Cyber Threats at the Cyber Threats Research Centre at Swansea University, spoke to Policing Insight’s Andrew Staniforth about the dangers to law enforcement agencies and public sector authorities, and how new approaches to cyber security and the application of artificial intelligence (AI) algorithms present opportunities to transform policing.

INNOVATION: Police Futures, a new publication from the UK’s Police Chief Scientific Adviser, moves beyond science fiction to consider how technology will shape policing over the coming decades; in the last of a three-part series exploring the report, Policing Insight’s James Sweetland looks at the findings around more advanced technologies – specifically, how neural interfaces might change how policing works in the future.

FEATURE: Automated analytics are increasingly viewed as an essential tool for keeping the public safe from serious harm, but they also create serious risks; a new report from The Alan Turing Institute presents a framework to help policing – and the security services – deploy analytics in a way that protects both privacy and public safety, as Policing Insight’s James Sweetland reports.

ANALYSIS: Predictive hotspot policing has been heralded by some as the way to do more with less and secure better outcomes, but others have questioned its effectiveness and the dangers of reinforcing bias; Criminology Lecturer Dr Daniel Marciniak, a key speaker at the recent Policing in the Age of the Machine conference, looks at the learning from existing research into predictive policing, and where the approach goes from here.

OPINION: The prospect of the increasing police use of artificial intelligence (AI), particularly around predictive policing, have prompted concerns over potential bias, and the need for transparency and explainability; Dr Nick Evans of the University of Tasmania believes that with the right safeguards in place, the use of AI could establish built-in objectivity for policing decisions, and potentially greater trust and confidence in police decision-making.

FEATURE: Greater use of data analytics in policing could offer significant opportunities to reduce crime, but the increased adoption of such technology is not without challenges; John Salt, CEO and co-founder of data recruitment specialists Only Data Jobs, explores some of the potential benefits of the new technology, as well as examples where law enforcement is already reaping the benefits.

FEATURE: A new report from the House of Lords Justice and Home Affairs Committee has called for more governance and scrutiny of technology in the UK justice system, amid concerns that the lack of standards and transparency over the police use of artificial intelligence threatens human rights and civil liberties, as Policing Insight’s Keith Potter reports.

FEATURE: As the number of women losing their lives to domestic violence continues to grow, could training in recognising and acting upon indicators of violence and aggression help to reduce levels of femicide? Ahead of next week’s London Policing College Domestic Abuse conference, analyst-profiler Christine Gagnon looks at efforts to provide such training, as well as plans to develop a specific psycho-legal compilation of verbal and non-verbal indicators that would be admissible in court.

ANALYSIS: High-harm domestic abuse offenders are likely to have a criminal record and several police interactions before they are first reported for partner violence – and a small number go on to cause disproportionate harm – so could algorithms and machine learning help to target them early? This was one of the key questions considered by New South Wales Police Superintendent Andrew Hurst at last week’s rescheduled Australia and New Zealand Society of Evidence-Based Policing conference.

POLICING FRIENDSHIP TOUR: Sopra Steria’s Public Safety MD Paul Bergin believes policing already has the technology to predict future crimes and identify future criminals; the bigger question is how that tech and data is used ethically, as he explained to Policing Insight Publisher Bernard Rix on a recent leg of the Policing Friendship Walking Tour.

INTERVIEW: In the latest in a series of interviews with leading figures involved in the research and investigation of organised crime, Policing Insight’s Chris Allen spoke to Dr Susanne Knabe-Nicol, Lecturer in Criminology at Middlesex University and owner of PoliceScienceDr.com, about her research, efforts to turn academic findings into practical resources, and the potential of geographic profiling in tackling organised crime.

OPINION: Until now, UK police IT systems have received much less attention from the public and the media than new technologies such as facial recognition and predictive policing, but recent problems have brought increased attention; Dr Katerina Hadjimatheou, Lecturer in Criminology and Ethics at the University of Essex, believes it’s time the spotlight was shone on the three big private technology companies behind these reportedly failing systems.