the theme paper) and potential relevant projects being conducted in academic  institutions; ii) Identify potential overlaps with research and innovation programmes of  regulatory relevance (including timelines) of EU Member States’ national  bodies, relevant EU Agencies (e.g. ECHA, EEA, EMA, etc) and relevant EU  institutions and their work programmes (e.g. the JRC and Horizon 2020 and  Horizon Europe in particular PARC$^{15}$). i) Identify relevant working areas additional to what is included in the theme  paper necessary to implement combined exposure to multiple chemicals in  human health risk. Provide a clear justification on their relevance by taking the  directions/opportunities into account as outlined in the relevant theme paper  (Annex 5);  ii) Identify any further development that is needed in the working areas identified  in the theme paper (i.e., scientific development and/or implementation of  specific policies);  iii) Identify directly relevant discontinuities and knowledge gaps with a clear  justification on their relevance to reach the desired vision by 2030 and impact  for EFSA; iv) Perform an analysis of the relevance and added value of the working areas that  are listed in the theme paper as well and those additional ones that have been  identified (see objective 3i, above)  to achieve EFSA’s vision as defined in the  theme paper (Annex 5);  v) Explore opportunities for the use of Artificial Intelligence (AI) 16  approaches for  combined exposure to multiple chemicals in human health risk assessment including data extraction and integration of information from different sources.  The tenderer needs to be available to be interviewed by a contractor (still to be  identified through a separate call for tenders) preparing the roadmap for action  on artificial intelligence in evidence management in risk assessment. i) Identify potential challenges and blockers for the implementation of human  health risk assessment of combined exposure to multiple chemicals based on  the outcome of objective 2 and 3;  Objective 3: Identifying areas requiring further scientific development Objective 4: Identifying challenges and blockers  15  16 Artificial Intelligence has been defined by the European Commission as “Artificial  Intelligence refers to  systems that display intelligent behaviour by analysing their environment and taking action  —  with some  degree of autonomy  —  to achieve specific goals. We are using AI on a daily basis, for example to block email  spam or speak with digital assistants. Growth in computing power, availability of data and progress in  algorithms have turned AI into one of the most important technologies of the 21st century .” Refer to:  https://ec.europa.eu/knowledge4policy/publication/coordinated-plan-artificial-intelligence-com2018-795- final_en#:~:text=Delivering%20on%20its%20strategy%20on,use%20of%20AI%20in%20Europe 