Independent research organistion the Ada Lovelace Institute has published a series of proposals on how the European Union (EU) can amend its forthcoming Artificial Intelligence Act (AIA) to empower those affected by the technology on both an individual and collective level. The proposed amendments also aim to expand and reshape the meaning of "risk" within the regulation, which the Institute has said should be based on "reasonably foreseeable" purpose and extend beyond its current focus on individual rights and safety to also include systemic and environmental risks. "Regulating AI is a difficult legal challenge, so the EU should be congratulated for being the first to come out with a comprehensive framework," said Alexandru Circiumaru, European public policy lead at the Ada Lovelace Institute. "However, the current proposals can and should be improved, and there is an opportunity for EU policymakers to significantly strengthen the scope and effectiveness of this landmark legislation." As it currently stands, the AIA, which was published by the European Commission (EC) on 21 April 2021, adopts a risk-based, market-led approach to regulating the technology, focusing on establishing rules around the use of "high-risk" and "prohibited" AI practices.

On 30 March 2022, the Justice and Home Affairs Committee published a report entitled "Technology rules? In this document, the committee explores the use of Artificial Intelligence (AI) and other algorithmic tools in activities pertaining to the justice system in England and Wales. The authors warn that the rate of development of these technologies is outpacing scrutiny and regulation. Chair of the Justice and Home Affairs Committee, Baroness Hamwee, said: "We welcome the advantages AI can bring to our justice system, but not if there is no adequate oversight. Humans must be the ultimate decision makers, knowing how to question the tools they are using and how to challenge their outcome."

Whereas, the 10 principles for ethical AI(formulated in 2017) included applicability of International Humanitarian Law( IHL); non-delegation of human responsibility; accountability for use of force in accordance with international law; weapons reviews before deployment; incorporation of physical, non-proliferation and cyber security safeguards; risk assessment and mitigation during technology development; consideration of the use of emerging technologies in the area of lethal autonomous weapon system (LAWS) in compliance with IHL.

Googleの姉妹会社であるDeepMindは、自動プログラミングAI「AlphaCode」や超強力ボードゲームAI「AlphaZero」など高性能なAIを次々と発表している人工知能開発企業です。そんなDeepMindに在籍していた女性が上司による性的被害を告発し、親会社のAlphabetに体制改革を求めています。

Companies in the US may be bullish on using artificial intelligence (AI), but many executives are ambivalent about its associated risks – especially when it comes to AI-enabled hiring and people management tools. According to a new survey by the global law firm Baker McKenzie, though 100 percent of senior executives agree there are risks associated with using AI, just 4 percent of respondents consider these risks to be "significant." Three fourths of those surveyed indicate their organization uses AI for key human resources (HR) management and employment functions – for example, recruiting and hiring, performance and promotion, and analyzing employee attendance or productivity trends. The Baker McKenzie survey, Risky Business: Identifying Blind Spots in Corporate Oversight of Artificial Intelligence queried 500 US based C-level executives who self-identified as part of the decision-making team responsible for their organization's adoption, use and management of AI-enabled tools. The telephone- and email-based survey was conducted during the months of December 2021 and January 2022, with executives at companies with at least $10.3 billion in annual revenues on average, across a range of industries.

There is widespread agreement that responsible artificial intelligence requires principles such as fairness, transparency, privacy, human safety, and explainability. Nearly all ethicists and tech policy advocates stress these factors and push for algorithms that are fair, transparent, safe, and understandable.1 But it is not always clear how to operationalize these broad principles or how to handle situations where there are conflicts between competing goals.2 It is not easy to move from the abstract to the concrete in developing algorithms and sometimes a focus on one goal comes at the detriment of alternative objectives.3 In the criminal justice area, for example, Richard Berk and colleagues argue that there are many kinds of fairness and it is "impossible to maximize accuracy and fairness at the same time, and impossible simultaneously to satisfy all kinds of fairness."4

Legal AI tools can help law firms in predicting litigation, onboarding clients, and performing due diligence. Artificial intelligence (AI) has become a crucial part of our everyday lives as well as businesses. Businesses that specialize in developing AI applications continuously build advanced use cases capable of disrupting various industries. AI is being extensively used in medicine, e-commerce, retail, FMCG, construction, and other sectors. Now, AI applications are making their way into law firms to assist lawyers as well as clients.

When students in suburban Atlanta returned to school for in-person classes amid the pandemic, they were required to mask up, like in many places across the US. Yet in this 95,000-student district, officials took mask compliance a step further than most. Through a network of security cameras, officials harnessed artificial intelligence to identify students whose masks drooped below their noses. "If they say a picture is worth a thousand words, if I send you a piece of video – it's probably worth a million," said Paul Hildreth, the district's emergency operations coordinator. "You really can't deny, 'Oh yeah, that's me, I took my mask off.'"

Last week several newspapers ran a story about three make-up artists who had been'dismissed by algorithm' during a redundancy exercise. They sued their former employer and received an out of court settlement. Had Estee Lauder effectively outsourced its decision making to a machine to determine which employees to retain or dismiss? It had used AI (specifically facial recognition technology) to interview the women but, according to Estee Lauder, this only accounted for 1% of its decision making. The rest of the process was conducted by a human being.

Each year that passes sees artificial intelligence (AI) integrating even further into major institutions. It is set to contribute $15.7tn to the global economy by 2030, which exceeds the current output of China and India combined. This game-changing technology is becoming increasingly embedded in our daily lives, from the devices on our bodies that measure our heart rates to those in our home that play our music. With AI poised to play an increasingly important role in society, further regulations are likely to be introduced worldwide. Over the past five years, more than 60 countries have developed over 700 AI policy initiatives.